States

A small vocabulary for describing how people are transformed by contact-data systems — and how fragmented data can be mislinked or synthesized.

連絡先データシステムによって人間がどう変換されるか、断片がどう誤接続・合成されるかを記述する小さな語彙。

Contact Data Observatory uses state language instead of scores.

Scores often repeat the logic of the systems being observed. States are slower. They describe how a person is being represented, reduced, exposed, or made actionable.

スコアは、観測対象であるシステムの論理を繰り返してしまうことがある。状態は、もっと遅い。

This vocabulary is provisional. It may change as new systems are observed.

Human state

Before a person is contacted, they are first transformed.

人は連絡される前に、まず変換される。

Human state names that transformation.

Human state describes what a person becomes inside a contact-data system.

Contact object

Definition: A person represented primarily as someone who can be found and reached.

Used when: The system emphasizes discoverability, email lookup, phone lookup, profile matching, or direct contactability.

Example: RocketReach

Lead object

Definition: A person represented as a target inside a sales or recruiting workflow.

Used when: The system turns a profile into a sequenced outreach object, pipeline stage, or campaign participant.

Example: Apollo

Callable entity

Definition: A person represented as something that can be returned, queried, enriched, or invoked through an API.

Used when: The system makes person data available as infrastructure for developers, automation, or downstream applications.

Example: People Data Labs

Enriched record

Definition: A person represented as a verified or enhanced business record.

Used when: The system adds titles, firmographics, buying signals, org-chart context, or revenue-facing metadata.

Example: ZoomInfo

Workflow object

Definition: A person represented as material inside a programmable workflow, often after enrichment, inference, or AI-assisted transformation.

Used when: The system chains data sources, enrichments, prompts, or automations around a person or account.

Example: Clay

Signal source

Definition: A person represented less as a contact and more as behavioral, intent, attention, or engagement data.

Used when: The system interprets attention, content activity, or engagement as buying intent or market signal.

Example: Bombora, 6sense

Account signal

Definition: A person's activity represented as part of account-level intelligence.

Used when: Individual behavior is aggregated into company, account, or buying committee signals.

Example: Demandbase

Navigable profile

Definition: A person represented as a searchable and filterable professional identity inside a network graph.

Used when: A professional platform becomes a sales or relationship navigation layer.

Example: LinkedIn Sales Navigator

Recruitable profile

Definition: A person represented as a potential candidate who can be found, contacted, and moved into a recruiting pipeline.

Used when: The system converts professional visibility into candidate sourcing or recruiting outreach.

Example: ContactOut

Verified contact object

Definition: A person represented as a reachable contact whose details have been validated for operational use.

Used when: The system emphasizes verification, accuracy, or human-checked contact data.

Example: SalesIntel

Triggered contact object

Definition: A person represented as reachable because an external event, company change, or market trigger made them relevant to a workflow.

Used when: A company event becomes the reason for individual outreach.

Example: Lead411

Market graph node

Definition: A person represented as part of a company, funding, investment, or market graph.

Used when: The person appears through structural relationships such as founder, executive, investor, company, or category.

Example: Crunchbase

Sequenced recipient

Definition: A person represented as the recipient of a planned series of messages, tasks, or touches.

Used when: The system manages timing, cadence, channels, or follow-up actions.

Example: Outreach, Salesloft, Instantly, Reply.io

Optimized recipient

Definition: A person represented as the target of message optimization, personalization, scoring, or AI-assisted writing.

Used when: The system shapes communication around predicted response or sender goals.

Example: Lavender

Business card record

Definition: A person represented through exchanged business cards, relationship history, company affiliation, and contact memory.

Used when: The system begins from business card management, professional relationship records, or organizational contact memory.

Example: Sansan, Eight Team, Remember

Relationship graph record

Definition: A person represented as part of an organizational relationship graph.

Used when: The system emphasizes who knows whom, which company is connected to which person, or how relationships can be activated.

Example: Sansan, FORCAS

Corporate registry subject

Definition: A person represented through corporate registration, legal representative status, shareholder relationships, executive roles, or business risk records.

Used when: The system emphasizes company registry data, legal identity, credit risk, corporate ownership, or business trust.

Example: Qichacha, Tianyancha, Qixinbao

Trust graph entity

Definition: A person or company represented inside a trust, credit, risk, ownership, or compliance graph.

Used when: The system links people, companies, legal records, risk signals, or commercial credibility.

Example: Qichacha, Tianyancha, D&B UAE

Commerce intent object

Definition: A person, company, or buyer represented through commerce behavior, sourcing activity, trade interest, or marketplace interaction.

Used when: The system observes trade, procurement, sourcing, or B2B marketplace activity.

Example: Alibaba.com / Alibaba Accio

Founder ecosystem node

Definition: A founder, investor, executive, or company represented as part of a startup, funding, or ecosystem graph.

Used when: The system maps startup ecosystems, funding events, investors, founders, or growth companies.

Example: MAGNiTT, Tech in Asia Database, e27, Tracxn, Dealroom, The VC

Local business identity

Definition: A company or professional identity represented within a regional business-data system.

Used when: The system is shaped by a specific country, region, business culture, language, or regulatory environment.

Example: Musubu, Zintlr, EasyLeadz, Kompass, NICE BizInfo

Synthetic personhood

AI does not only misidentify people. It can synthesize them.

AIは人を間違えるだけではない。合成してしまうことがある。

These states describe a chain — not a single database field.

When fragmented human data is mislinked, operationalized, and narrated into plausible but false personhood. Distinct from human state labels used in registry entries; this chain observes how fragments move through infrastructure and AI.

Contactable

連絡可能（Contactable）

Definition: A person has been converted into a reachable object through name, company, title, email pattern, professional profile, or other contact signals.

人が、名前・会社・役職・メール推定・プロフィールなどを通じて「連絡可能な対象」に変換された状態。

Used when: The system treats discoverability as the starting point — before relationship, context, or verification.

システムが、関係性・文脈・検証より先に、到達可能性を出発点として扱うとき。

Related human state: Contact object

Example: Contact discovery and enrichment systems

Mislinked

誤接続（Mislinked）

Definition: Separate people, companies, roles, or histories are incorrectly connected because they share similar names, industries, titles, or search proximity.

同姓同名、近接企業、類似業界、似た役職、検索結果の近接によって、別人や別文脈の情報が誤って接続された状態。

Used when: Search results, same-name collisions, or inferential linking place unrelated fragments beside each other.

検索結果、同姓同名、推論によるリンクが、無関係な断片を並べてしまうとき。

Example: AI-assisted workflow layers

Synthesized

合成（Synthesized）

Definition: Fragmented human data is recombined by AI into a plausible but false person, career, intention, or biography.

断片的な人物情報がAIによって再結合され、もっともらしいが実在しない経歴・人格・物語として生成された状態。

Used when: The system summarizes, explains, or narrates a person from incomplete or mislinked inputs.

不完全または誤接続された入力から、システムが要約・説明・物語化するとき。

Related human state: Workflow object

Example: AI prospecting and enrichment chains

Operationalized

実行可能化（Operationalized）

Definition: Human data becomes usable for sales, recruiting, CRM, ABM, lead scoring, or AI-driven outreach.

人物情報が営業、採用、CRM、ABM、リードスコアリング、AI営業メールなどの実行可能な資産として扱われる状態。

Used when: The person becomes actionable inside revenue, hiring, or automation workflows — regardless of accuracy.

正確さに関わらず、人間が収益・採用・自動化ワークフローの中で行動可能な対象になるとき。

Related human state: Lead object

Example: Sales engagement and outbound automation

Meaning state

A profile may contain facts and still lose meaning.

プロフィールに事実があっても、意味は失われうる。

Meaning state describes what disappears.

Meaning state describes what happens to the person's context.

Context missing

Definition: The person is present as data, but the surrounding human context is absent.

Context abstracted

Definition: The person's context is converted into workflow logic, categories, or engagement stages.

Context reduced

Definition: The person's context is simplified into commercially useful attributes such as role, title, company, seniority, or intent.

Meaning displaced

Definition: The system's purpose replaces the person's own meaning. The person is understood mainly through the use case of the observer.

Trust friction

Trust friction is not a legal finding.

Trust friction は法的判断ではない。

It is the felt resistance between technical possibility and human context.

Trust friction describes the level of discomfort, opacity, or social tension created by the system.

Low

Definition: The system's data use is relatively clear, limited, and close to the person's expected context.

Moderate

Definition: The system creates some context shift, but the transformation is visible and limited.

High

Definition: The system makes a person reachable, actionable, enriched, or automatable in ways that may not be visible to the person.

Severe

Definition: The system operates at scale, combines multiple data forms, or deeply embeds person records into revenue, automation, or intelligence workflows.

These states are not legal conclusions.

これらの状態は法的結論ではない。

They are observational terms.

観測上の語彙である。

They describe friction between contactability, consent, context, and meaning.

連絡可能性、同意、文脈、意味のあいだにある摩擦を記述する。

They also describe mislinking and synthetic personhood — when AI reconnects fragments into plausible but false lives.

断片がもっともらしいが誤った人生として再接続される、誤接続と合成的人格についても記述する。