Triple

T19098080
Position Surface form Disambiguated ID Type / Status
Subject Noce Blanche E467458 entity
Predicate cinematographyBy P1953 FINISHED
Object Romain Winding 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: Romain Winding | Statement: [Noce Blanche, cinematographyBy, Romain Winding]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Romain Winding
Context triple: [Noce Blanche, cinematographyBy, Romain Winding]
  • A. Romain Winding chosen
    Romain Winding was a French cinematographer known for his visually rich and atmospheric work on films such as "Farewell, My Queen."
  • B. Xavier Giannoli
    Xavier Giannoli is a French film director and screenwriter known for character-driven dramas such as "Marguerite" and "Superstar."
  • C. Raoul Meyer
    Raoul Meyer is a French businessman best known as the former husband of socialite and reality TV personality Kim Kardashian.
  • D. Raoul Meyer
    Raoul Meyer is a Swiss race car driver and businessman best known for his high-profile marriage to actress and model Brigitte Nielsen.
  • E. Yann Demange
    Yann Demange is a French-Algerian film and television director and producer best known for directing the thriller "’71" and the crime drama series "Top Boy."
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36b279c819091a8d51f044bc644 completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.