Triple

T13694707
Position Surface form Disambiguated ID Type / Status
Subject What Men Want E328353 entity
Predicate cinematographyBy P1953 FINISHED
Object Jim Denault E539272 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: Jim Denault | Statement: [What Men Want, cinematographyBy, Jim Denault]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Denault
Context triple: [What Men Want, cinematographyBy, Jim Denault]
  • A. Jim Denault chosen
    Jim Denault is an American cinematographer known for his work on both feature films and television series, often collaborating on character-driven comedies and dramas.
  • B. Guy Demers
    Guy Demers is an individual notable enough to be specifically cited as a bearer of the surname Demers.
  • C. Luc Demers
    Luc Demers is a person notable enough to be specifically cited as a bearer of the surname Demers, though detailed public information about his life or achievements is not widely documented.
  • D. Kevin Lepage
    Kevin Lepage is an American professional stock car racing driver best known for his intermittent NASCAR Cup and Xfinity Series appearances from the 1990s through the 2000s.
  • E. Jean-Luc Brassard
    Jean-Luc Brassard is a Canadian former freestyle skier and Olympic gold medalist in moguls.
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc8757b648190a26181efbad09a43 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794514afc8190b334b1fc74a6cdd5 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.