Triple

T8626213
Position Surface form Disambiguated ID Type / Status
Subject Notre musique E204285 entity
Predicate cinematographyBy P1953 FINISHED
Object Julien Hirsch E754282 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: Julien Hirsch | Statement: [Notre musique, cinematographyBy, Julien Hirsch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julien Hirsch
Context triple: [Notre musique, cinematographyBy, Julien Hirsch]
  • A. Julien Hirsch chosen
    Julien Hirsch is a French cinematographer known for his work on numerous art-house and auteur films, including collaborations with directors like Jean-Luc Godard.
  • B. Julien Flegenheimer
    Julien Flegenheimer was an architect best known for his role in designing the Palais des Nations, the former League of Nations headquarters in Geneva.
  • C. Mathieu Klein
    Mathieu Klein is a French politician known for serving as the mayor of the city of Nancy.
  • D. Yannick Jauzion
    Yannick Jauzion is a retired French rugby union centre renowned for his powerful running, playmaking skills, and key role in France’s national team during the 2000s.
  • E. Xavier Grobet
    Xavier Grobet is a Mexican cinematographer known for his work on both independent and mainstream films, including the romantic comedy-drama "Enough Said."
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc472b8fa481909f52f83ea210483e completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6eb505e08190af7403d488736719 completed April 3, 2026, 7:39 a.m.
Created at: March 30, 2026, 6:26 p.m.