Triple

T3011860
Position Surface form Disambiguated ID Type / Status
Subject Tony Award for Best Actress in a Play E82240 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: [Tony Award for Best Actress in a Play, partOf, Tony Awards]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Awards
Context triple: [Tony Award for Best Actress in a Play, 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. Lucille Lortel Award
    The Lucille Lortel Award is a prestigious honor recognizing outstanding achievement in Off-Broadway theatre in New York City.
  • 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_69ad8b1eb53481908c39bbcd1ec104b2 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9a66c334819082d1d320c48eca1b completed March 8, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eee74390819087e48b67ed4a9f27 completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 3 p.m.