Triple

T15190284
Position Surface form Disambiguated ID Type / Status
Subject Jacques Prévert E362987 entity
Predicate employer P7 FINISHED
Object Pathé-Natan E114849 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: Pathé-Natan | Statement: [Jacques Prévert, employer, Pathé-Natan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pathé-Natan
Context triple: [Jacques Prévert, employer, Pathé-Natan]
  • A. Pathé chosen
    Pathé is a historic French film production and distribution company that also operated as a major record label in the early and mid-20th century.
  • B. Pathé Industries
    Pathé Industries was an American film production and distribution company active in the mid-20th century, known for its involvement in independent and low-budget filmmaking.
  • C. Lux Compagnie Cinématographique de France
    Lux Compagnie Cinématographique de France was a French film production and distribution company active in the mid-20th century, known for handling notable French and European films.
  • D. Gaumont
    Gaumont is a historic French film and television production company, recognized as one of the oldest continuously operating studios in the world.
  • E. CinéArts
    CinéArts is a Cinemark-owned brand of upscale movie theaters that focuses on presenting independent, foreign, and art-house films in a premium cinema environment.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067beedc8190abc0a94c7a38f85e completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd2bff388190881396685edd1787 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:10 a.m.