Triple

T10351917
Position Surface form Disambiguated ID Type / Status
Subject Yves Montand E243900 entity
Predicate name P16 FINISHED
Object Yves Montand E243900 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: Yves Montand | Statement: [Yves Montand, name, Yves Montand]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yves Montand
Context triple: [Yves Montand, name, Yves Montand]
  • A. Yves Montand chosen
    Yves Montand was a renowned Italian-French actor and singer celebrated for his roles in classic European cinema and his charismatic musical performances.
  • B. Jean-Pierre Aumont
    Jean-Pierre Aumont was a French stage and film actor known for his romantic leading roles in European and Hollywood cinema from the 1930s through the 1960s.
  • C. Jean Marais
    Jean Marais was a renowned French actor, director, and sculptor best known for his collaborations with filmmaker Jean Cocteau and his roles in classic French cinema.
  • D. Anthony Franciosa
    Anthony Franciosa was an American actor known for his intense, charismatic performances in film and television during the 1950s through the 1970s, including notable roles in dramas and crime thrillers.
  • E. Charles Aznavour
    Charles Aznavour was a renowned French-Armenian singer-songwriter, actor, and enduring icon of French chanson, celebrated for his poetic lyrics and emotive performances.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9489f9481908fc1c818e81c1cc2 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7951e65948190a25e559ba94be3c7 completed April 9, 2026, 12:01 p.m.
Created at: April 6, 2026, 11:57 a.m.