Triple

T3169754
Position Surface form Disambiguated ID Type / Status
Subject Have You Met Miss Jones? E66298 entity
Predicate musicalTheatreWorkType P46716 FINISHED
Object Broadway musical song 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: Broadway musical song | Statement: [Have You Met Miss Jones?, musicalTheatreWorkType, Broadway musical song]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: musicalTheatreWorkType
Context triple: [Have You Met Miss Jones?, musicalTheatreWorkType, Broadway musical song]
  • A. theatreType
    Indicates the specific category or kind of theatre associated with an entity, such as its format, style, or operational model.
  • B. theaterWork
    Indicates a relationship where an entity is a theatrical work (such as a play or stage production) associated with another entity, typically as its subject, creator, or context.
  • C. theatricalGenre
    Indicates the specific theatrical genre or style to which a performance, play, or production belongs.
  • D. musicalRole
    Indicates the specific function or part an entity performs within a musical context, such as in a performance, composition, or ensemble.
  • E. hasMusicalTheatreOrigin
    Indicates that something originates from, was first created for, or is primarily derived from musical theatre.
  • 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_69ad8585d7988190af37365331093ccd completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada64917e08190bf0466d2c5e43790 completed March 8, 2026, 4:39 p.m.
PD Predicate disambiguation batch_69ad9e0076b4819094628f1ad10b8f68 completed March 8, 2026, 4:04 p.m.
PDg Predicate description generation batch_69ada20880e481908ecac09d49b1f1c3 completed March 8, 2026, 4:21 p.m.
Created at: March 8, 2026, 3:06 p.m.