Triple

T23043278
Position Surface form Disambiguated ID Type / Status
Subject The Saint (1997 film) E573798 entity
Predicate cinematography P1953 FINISHED
Object Phil Meheux 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: Phil Meheux | Statement: [The Saint (1997 film), cinematography, Phil Meheux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Meheux
Context triple: [The Saint (1997 film), cinematography, Phil Meheux]
  • A. Phil Meheux chosen
    Phil Meheux is a British cinematographer known for his work on major films including entries in the James Bond series and various Hollywood features.
  • B. Eric Thibault
    Eric Thibault is a professional basketball coach best known for leading the WNBA’s Washington Mystics.
  • C. Michael Joncas
    Michael Joncas is an American Catholic priest, theologian, and liturgical composer best known for his widely sung contemporary hymn "On Eagle’s Wings."
  • D. Phil DeVoss
    Phil DeVoss is a fictional character from the romantic comedy-drama film "Elizabethtown," which explores themes of family, failure, and self-discovery.
  • E. Jason Hehir
    Jason Hehir is an American documentary filmmaker best known for directing high-profile sports documentaries, including the acclaimed Michael Jordan and Chicago Bulls series "The Last Dance."
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18517083c8190a0850da5440e0a73 completed April 29, 2026, 4:12 a.m.
Created at: April 17, 2026, 3:54 p.m.