Triple

T21780776
Position Surface form Disambiguated ID Type / Status
Subject Bonjour Tristesse (film) E537704 entity
Predicate artDirector P7743 FINISHED
Object John DeCuir 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: John DeCuir | Statement: [Bonjour Tristesse (film), artDirector, John DeCuir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John DeCuir
Context triple: [Bonjour Tristesse (film), artDirector, John DeCuir]
  • A. John DeCuir chosen
    John DeCuir was an American art director and production designer renowned for his lavish, large-scale set designs on classic Hollywood epics.
  • B. Leon Edery
    Leon Edery was an Israeli film producer known for backing acclaimed international and Middle Eastern cinema.
  • C. Melvin Gregg
    Melvin Gregg is an American actor and former Vine personality known for his roles in film and television, including the series "Nine Perfect Strangers."
  • D. Maurice Durwood
    Maurice Durwood was an American businessman best known as the founder of the modern AMC movie theater chain.
  • E. LeRoy Mason
    LeRoy Mason was an American character actor best known for his numerous roles in Westerns and adventure serials during the 1930s and 1940s.
  • 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_69e0c470759c819094a215757113562b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f0462cae6481908d3e7f71683d8921 completed April 28, 2026, 5:31 a.m.
Created at: April 16, 2026, 6:52 p.m.