Triple

T35173921
Position Surface form Disambiguated ID Type / Status
Subject Scott Frankel E1015635 entity
Predicate hasPartInMusicalTheatreProduction P200950 FINISHED
Object composer of the score for Grey Gardens 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: composer of the score for Grey Gardens | Statement: [Scott Frankel, hasPartInMusicalTheatreProduction, composer of the score for Grey Gardens]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPartInMusicalTheatreProduction
Context triple: [Scott Frankel, hasPartInMusicalTheatreProduction, composer of the score for Grey Gardens]
  • A. musicalTheatreWork
    Indicates that one entity is a musical theatre work (such as a musical or operetta) associated with or characterized by the other entity.
  • B. partOfTheatre
    Indicates that one entity is a component, section, or subdivision of a theatre.
  • C. musicalTheatreWorkType
    Indicates the specific type or category of a musical theatre work that characterizes the nature of the production.
  • D. musicalRole
    Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
  • E. appearedInBroadwayProduction
    Indicates that an entity participated as part of a Broadway stage production of another work or show.
  • F. None of above. chosen

Provenance (4 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_69f76ddcc108819097f96853b7ed9ef4 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69ffbb1c5bf88190a0bf791213045885 completed May 9, 2026, 10:54 p.m.
PD Predicate disambiguation batch_69ffba0ab0f881908f84ef81f7a1bfe8 completed May 9, 2026, 10:49 p.m.
PDg Predicate description generation batch_69ffbb1b3b888190ba329ad321fc3f3d completed May 9, 2026, 10:54 p.m.
Created at: May 3, 2026, 4:02 p.m.