Triple

T16876053
Position Surface form Disambiguated ID Type / Status
Subject Violette Nozière E421300 entity
Predicate productionCompany P490 FINISHED
Object André Génovès Productions E1237877 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: André Génovès Productions | Statement: [Violette Nozière, productionCompany, André Génovès Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: André Génovès Productions
Context triple: [Violette Nozière, productionCompany, André Génovès Productions]
  • A. André Génovès Productions chosen
    André Génovès Productions was a French film production company associated with producing notable French cinema in the late 1960s and 1970s.
  • B. Dijon Productions
    Dijon Productions was a mid-20th-century American film production company best known for producing the 1958 crime drama "Thunder Road."
  • C. Gravier Productions
    Gravier Productions is an American film production company best known for producing many of Woody Allen’s later films, including "Blue Jasmine."
  • D. Noé Productions
    Noé Productions is a French film production company best known for producing the acclaimed war drama "No Man's Land."
  • E. Parti Productions
    Parti Productions is a television production company known for producing the British drama film "The Boy with the Topknot."
  • 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_6a00c7a451708190897bb3332c1e7457 completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:29 a.m.