Triple

T21474110
Position Surface form Disambiguated ID Type / Status
Subject Moderato cantabile E529807 entity
Predicate adaptationDirector P255 FINISHED
Object Peter Brook NE NERFINISHED

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: Peter Brook | Statement: [Moderato cantabile, adaptationDirector, Peter Brook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Brook
Context triple: [Moderato cantabile, adaptationDirector, Peter Brook]
  • A. Peter Brook chosen
    Peter Brook was a highly influential British theatre and film director renowned for his innovative, minimalist stagings and groundbreaking work with Shakespeare and experimental theatre.
  • B. Peter Brooks
    Peter Brooks is a relatively obscure individual for whom no widely recognized public information or distinguishing achievements are readily available.
  • C. Peter Brooks
    Peter Brooks was a prominent 19th-century Chicago real estate developer and investor known for financing major commercial buildings, including landmark early skyscrapers.
  • D. Robert Lepage
    Robert Lepage is a renowned Canadian playwright, actor, and director celebrated for his innovative, multimedia-driven approach to theatre and opera.
  • E. Peter Whitehead
    Peter Whitehead is a writer known for his work on the film "Macho Man."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea1650788190bd55ebdbf1dfc46f completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:19 p.m.