Triple

T12649342
Position Surface form Disambiguated ID Type / Status
Subject John Michael Hayes E302114 entity
Predicate name P16 FINISHED
Object John Michael Hayes E302114 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: John Michael Hayes | Statement: [John Michael Hayes, name, John Michael Hayes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Michael Hayes
Context triple: [John Michael Hayes, name, John Michael Hayes]
  • A. John Michael Hayes chosen
    John Michael Hayes was an American screenwriter best known for his collaborations with Alfred Hitchcock, including writing the screenplay for "Rear Window."
  • B. David Hayes
    David Hayes is an American music industry figure best known as the co-founder of the influential punk label Lookout! Records.
  • C. Michael Hayes
    Michael Hayes was a British television director best known for his work on the classic science fiction series Doctor Who, including the acclaimed serial "City of Death."
  • D. John Hayes
    John Hayes is a technology entrepreneur best known as a co-founder of the data storage company Pure Storage.
  • E. Billy Hayes
    Billy Hayes is an American writer and former drug smuggler best known for his autobiographical account of imprisonment in Turkey, which inspired the book and film "Midnight Express."
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9615cf6f48190bd0983cf7465ab15 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a539f098819096e955a035742dad completed May 3, 2026, 1:30 a.m.
Created at: April 9, 2026, 5:18 p.m.