Triple

T9846661
Position Surface form Disambiguated ID Type / Status
Subject Contempt E239356 entity
Predicate distributor P1951 FINISHED
Object Les Films Concordia E747576 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: Les Films Concordia | Statement: [Contempt, distributor, Les Films Concordia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Les Films Concordia
Context triple: [Contempt, distributor, Les Films Concordia]
  • A. Les Films Concordia chosen
    Les Films Concordia is a French film production company best known for backing influential auteur-driven works such as Jean-Luc Godard’s classic "Le Mépris."
  • B. Les Films du Siècle
    Les Films du Siècle is a French film production company known for backing various French and international cinema projects.
  • C. Les Films de l'Astrophore
    Les Films de l'Astrophore is a French film production company best known for its involvement in art-house and auteur-driven cinema.
  • D. Le Cinéma
    Le Cinéma is a movie theater within Tokyo’s Bunkamura cultural complex, known for screening a curated selection of domestic and international films.
  • E. Les Films du Carrosse
    Les Films du Carrosse is a French film production company closely associated with the works of director François Truffaut and other auteur-driven cinema.
  • 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_69ca84e3f0c48190ada72a65ebd50efd completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb36156308190b26892702f3b41e0 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5e1b67c8190ad7b57ea423511d8 completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:34 p.m.