Triple

T7182097
Position Surface form Disambiguated ID Type / Status
Subject Lawrence Langner E167471 entity
Predicate hasEmployerOrAffiliation P39187 FINISHED
Object American theater community LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: American theater community | Statement: [Lawrence Langner, hasEmployerOrAffiliation, American theater community]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEmployerOrAffiliation
Context triple: [Lawrence Langner, hasEmployerOrAffiliation, American theater community]
  • A. commonAffiliation
    Indicates that two or more entities share the same organizational, institutional, or group affiliation.
  • B. hasNotableAffiliation chosen
    Indicates that an entity is significantly associated or connected with another entity, such as an organization, group, or institution, in a way that is noteworthy or distinguished.
  • C. hasAffiliationType
    Indicates that one entity is connected to another through a specified kind or category of affiliation or association.
  • D. isAssociatedWithProfessionOfBearer
    Indicates that one entity is connected to, or involved with, the profession or occupational role held by another entity.
  • E. hasFatherEmployer
    Indicates that the employer of a person’s father is related to or associated with that person.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69c6888a7c548190a3d39b52a393080f completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e9b045c48190b27b2d6f7c11026f completed March 27, 2026, 8:33 p.m.
PD Predicate disambiguation batch_69c6e74fb0f48190b2ad4dd4efdd241a completed March 27, 2026, 8:23 p.m.
Created at: March 27, 2026, 2:49 p.m.