Triple

T14799743
Position Surface form Disambiguated ID Type / Status
Subject Zachary Levi E347874 entity
Predicate nominatedFor P1791 FINISHED
Object Tony Award 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 Award | Statement: [Zachary Levi, nominatedFor, Tony Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Award
Context triple: [Zachary Levi, nominatedFor, Tony Award]
  • A. Tony Award chosen
    The Tony Award is a prestigious American honor recognizing excellence in live Broadway theatre.
  • B. Tony Award for Best Revival of a Play
    The Tony Award for Best Revival of a Play is a prestigious annual Broadway theater honor recognizing outstanding revivals of previously produced plays.
  • C. Tony Award for Best Actor in a Play
    The Tony Award for Best Actor in a Play is a prestigious annual honor presented for an outstanding leading performance by an actor in a Broadway play.
  • D. Tony Award for Best Actress in a Play
    The Tony Award for Best Actress in a Play is a prestigious annual honor recognizing outstanding leading performances by actresses in Broadway theatrical productions.
  • E. 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.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd62c36c81909c2993dc7d1a79ea completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24c2cd848190bb0d8e4b5f7a489c completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.