Triple

T21919301
Position Surface form Disambiguated ID Type / Status
Subject Un coeur en hiver E541259 entity
Predicate cinematographyBy P1953 FINISHED
Object Yves Angelo 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: Yves Angelo | Statement: [Un coeur en hiver, cinematographyBy, Yves Angelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yves Angelo
Context triple: [Un coeur en hiver, cinematographyBy, Yves Angelo]
  • A. Yves Angelo chosen
    Yves Angelo is a French cinematographer and film director renowned for his visually distinctive work, which has earned him multiple César Awards for Best Cinematography.
  • B. André Daina
    André Daina is a Swiss former football referee best known for officiating major European club competitions in the 1980s.
  • C. Jean-Claude Van Johnson
    Jean-Claude Van Johnson is a comedic action television series starring Jean-Claude Van Damme as a fictionalized version of himself working as a secret agent.
  • D. Yves Nat
    Yves Nat was a distinguished 20th-century French pianist and composer renowned for his powerful interpretations of the Romantic repertoire, particularly the works of Beethoven and Schumann.
  • E. Jean Leonetti
    Jean Leonetti is a French politician and physician known for his work on end-of-life legislation and his long-standing role in center-right national politics.
  • 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_69e0c47c4b9c8190a5586a75f5f36453 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f12339d88881909e726c9b081bd177 completed April 28, 2026, 9:14 p.m.
Created at: April 16, 2026, 7:44 p.m.