Triple

T18252951
Position Surface form Disambiguated ID Type / Status
Subject Le Convoyeur E437144 entity
Predicate productionCompany P490 FINISHED
Object Gaumont 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: Gaumont | Statement: [Le Convoyeur, productionCompany, Gaumont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaumont
Context triple: [Le Convoyeur, productionCompany, Gaumont]
  • A. Gaumont chosen
    Gaumont is a historic French film and television production company, recognized as one of the oldest continuously operating studios in the world.
  • B. 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.
  • C. Orsay Films
    Orsay Films is a French film production company known for backing notable French-language cinema, including Jean-Luc Godard’s work.
  • D. Pathé
    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.
  • E. 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.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4fd81ea3481909d96b5399f7a32b3 completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 10:33 a.m.