Triple

T1222976
Position Surface form Disambiguated ID Type / Status
Subject Best Featured Actress in a Musical E26265 entity
Predicate partOf P40 FINISHED
Object Tony Awards E3842 NE 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: Tony Awards | Statement: [Best Featured Actress in a Musical, partOf, Tony Awards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Awards
Context triple: [Best Featured Actress in a Musical, partOf, Tony Awards]
  • A. Tony Award chosen
    The Tony Award is a prestigious American honor recognizing excellence in live Broadway theatre.
  • B. Drama Desk Award
    The Drama Desk Award is a prestigious New York theater honor recognizing outstanding achievements in Broadway, Off-Broadway, and Off-Off-Broadway productions.
  • C. Obie Award
    The Obie Award is an American theater honor recognizing excellence in off-Broadway and off-off-Broadway productions.
  • D. Tony Award for Excellence in Theatre
    The Tony Award for Excellence in Theatre is a special honor recognizing outstanding contributions to the American theatre industry beyond the traditional competitive Tony Award categories.
  • E. Tony Award for Best Musical
    The Tony Award for Best Musical is Broadway's highest honor recognizing the most outstanding new musical production of the theater season.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69a49484688c8190a1bf285eb396a8b6 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be21a2bc819094b47580d7c5cdf8 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad1c90c95081908af02d73f7d762ee completed March 8, 2026, 6:52 a.m.
Created at: March 1, 2026, 7:47 p.m.