Triple

T6993798
Position Surface form Disambiguated ID Type / Status
Subject Tom Luddy E162150 entity
Predicate collaboratedWith P435 FINISHED
Object Agnès Varda E239344 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: Agnès Varda | Statement: [Tom Luddy, collaboratedWith, Agnès Varda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Agnès Varda
Context triple: [Tom Luddy, collaboratedWith, Agnès Varda]
  • A. Agnès Varda chosen
    Agnès Varda was a pioneering French filmmaker and artist whose innovative, humanistic films made her a central figure of the French New Wave and a major influence on modern cinema.
  • B. Jacques Rivette
    Jacques Rivette was a pioneering French film director and critic associated with the French New Wave, known for his innovative narrative structures and marathon-length, improvisational films.
  • C. Laura Truffaut
    Laura Truffaut is the daughter of renowned French New Wave film director François Truffaut.
  • D. Jean Renoir
    Jean Renoir was a renowned French film director and screenwriter, celebrated as one of the greatest auteurs in cinema history.
  • E. Alain Resnais
    Alain Resnais was a pioneering French film director associated with the Left Bank of the French New Wave, renowned for his innovative narrative structures and explorations of memory and time in films like "Hiroshima mon amour" and "Last Year at Marienbad."
  • 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_69c68856d7808190ab33ee914640281b completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6dbeaa88c8190a49f8504c1793e1f completed March 27, 2026, 7:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a1adec88190a769ec7af0fa7b51 completed March 28, 2026, 5:41 a.m.
Created at: March 27, 2026, 2:32 p.m.