Triple

T14834655
Position Surface form Disambiguated ID Type / Status
Subject Sam Waterston E348796 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: [Sam Waterston, nominatedFor, Tony Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Award
Context triple: [Sam Waterston, 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded076ac9c8190a05cabec5e87d207 completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64fc8cdc8190a142a2a3ef889e72 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:52 a.m.