Triple

T11200328
Position Surface form Disambiguated ID Type / Status
Subject Maria Schneider E265021 entity
Predicate relative P37 FINISHED
Object Daniel Gélin E911673 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: Daniel Gélin | Statement: [Maria Schneider, relative, Daniel Gélin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Gélin
Context triple: [Maria Schneider, relative, Daniel Gélin]
  • A. Daniel Gélin chosen
    Daniel Gélin was a prominent French actor known for his prolific film career from the 1940s onward and his collaborations with many major European directors.
  • B. Alain Chabat
    Alain Chabat is a French actor, comedian, director, and screenwriter known for his influential work in French comedy and films such as "Asterix & Obelix: Mission Cleopatra."
  • C. Claude Berri
    Claude Berri was a prominent French film director, producer, and screenwriter known for works such as "Jean de Florette" and "Manon des Sources."
  • D. Michel Bouquet
    Michel Bouquet was a renowned French actor celebrated for his nuanced performances in theatre and film over a career spanning more than six decades.
  • E. Jean-Pierre Ramis
    Jean-Pierre Ramis is a French mathematician known for his work in differential equations, dynamical systems, and resurgence theory, and for his association with the Nicolas Bourbaki group.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8c1e9f88190b2b42326aba9d778 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad0984e08190af9c8263cc2a079d completed April 19, 2026, 10:23 a.m.
Created at: April 8, 2026, 9:29 p.m.