Triple

T20001307
Position Surface form Disambiguated ID Type / Status
Subject Gordon Edelstein E494333 entity
Predicate hasNotableTenure P22252 FINISHED
Object long leadership of a major New Haven regional theatre 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: long leadership of a major New Haven regional theatre | Statement: [Gordon Edelstein, hasNotableTenure, long leadership of a major New Haven regional theatre]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableTenure
Context triple: [Gordon Edelstein, hasNotableTenure, long leadership of a major New Haven regional theatre]
  • A. hasNotableYear
    Indicates that an entity is associated with a specific year that is particularly significant or noteworthy for it.
  • B. hasNotablePosition chosen
    Indicates that an entity holds or has held a position, role, or office considered notable or significant.
  • C. notableHostTenure
    Indicates that an entity is recognized for having a significant or distinguished period of serving as a host of something (e.g., a show, event, or program).
  • D. hasNotableRecordingPeriod
    Indicates that an entity is associated with a specific time span during which notable recording activity took place.
  • E. hasNotableEarlyCareerAppearanceOf
    Indicates that an entity features or includes a significant appearance by another entity during the latter’s early career.
  • 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_69da626b2d748190886981ea90c8b2ea completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e661a222908190b88e1d11cb1b7ee3 completed April 20, 2026, 5:25 p.m.
PD Predicate disambiguation batch_69e54cdddbd48190becc8b2aa5ab4ef9 completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 3:32 p.m.