Triple

T16876045
Position Surface form Disambiguated ID Type / Status
Subject Violette Nozière E421300 entity
Predicate distributedBy P1951 FINISHED
Object Gaumont E486732 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: Gaumont | Statement: [Violette Nozière, distributedBy, Gaumont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaumont
Context triple: [Violette Nozière, distributedBy, 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 (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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3b7f646308190b5e277b5f51cd315 completed April 18, 2026, 4:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2b4abd08190841c5bb0b0eaa177 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.