Triple

T22051877
Position Surface form Disambiguated ID Type / Status
Subject Les Ripoux E544903 entity
Predicate castMember P1668 FINISHED
Object Jacques François 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: Jacques François | Statement: [Les Ripoux, castMember, Jacques François]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jacques François
Context triple: [Les Ripoux, castMember, Jacques François]
  • A. Jacques François chosen
    Jacques François was a French actor known for his supporting roles in mid-20th-century European and American films.
  • B. Jacques-François
    Jacques-François is the given name of Jacques-François Menou, a French general who served during the French Revolutionary period and in Napoleon’s Egyptian campaign.
  • C. Pierre-François
    Pierre-François is a French masculine given name commonly used as a compound first name.
  • D. Jacques-Germain
    Jacques-Germain was an 18th-century French architect best known for designing the Panthéon in Paris.
  • E. Claude Joseph
    Claude Joseph is the given name of Claude Joseph Rouget de Lisle, the French army officer and composer best known for writing "La Marseillaise," the French national anthem.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285513fc8190b691e1f57085956f completed April 28, 2026, 9:36 p.m.
Created at: April 16, 2026, 8:26 p.m.