Triple

T8626007
Position Surface form Disambiguated ID Type / Status
Subject La Chinoise E204281 entity
Predicate distributor P1951 FINISHED
Object Athos Films E747588 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: Athos Films | Statement: [La Chinoise, distributor, Athos Films]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Athos Films
Context triple: [La Chinoise, distributor, Athos Films]
  • A. Athos Films chosen
    Athos Films is a French film distribution company known for handling the release of notable art-house and New Wave films.
  • B. Tornasol Films
    Tornasol Films is a Spanish film production company known for co-producing acclaimed international films, including Ken Loach’s award-winning drama "The Wind That Shakes the Barley."
  • C. Pantelion Films
    Pantelion Films is a film production and distribution company known for specializing in Latino-focused and Spanish-language movies, formed as a joint venture between Lionsgate and Televisa.
  • D. Praxis Films
    Praxis Films is an independent film production company best known for producing Laura Poitras’s Oscar-winning documentary "Citizenfour" about Edward Snowden and NSA surveillance.
  • E. Allegro Films
    Allegro Films is a film production company known for producing feature films such as the 1997 movie "Trucks."
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc472b8fa481909f52f83ea210483e completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cef349d8408190bfd90a33a2d223bb completed April 2, 2026, 10:52 p.m.
Created at: March 30, 2026, 6:26 p.m.