Triple

T23006935
Position Surface form Disambiguated ID Type / Status
Subject Garat E572798 entity
Predicate hasNotableBearer P458 FINISHED
Object Dominique Joseph Garat 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: Dominique Joseph Garat | Statement: [Garat, hasNotableBearer, Dominique Joseph Garat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dominique Joseph Garat
Context triple: [Garat, hasNotableBearer, Dominique Joseph Garat]
  • A. Dominique Joseph Garat chosen
    Dominique Joseph Garat was a French journalist, lawyer, and revolutionary politician who served as Minister of Justice and later Minister of the Interior during the early years of the French Revolution.
  • B. Charles Gassot
    Charles Gassot is a French film producer known for his work on acclaimed European cinema.
  • C. François Chattot
    François Chattot is a French actor known for his work in film, theatre, and television.
  • D. Benoît Gabriel
    Benoît Gabriel is a member of the notable Gabriel family of French architects, known for their influential contributions to classical architecture.
  • E. Gerald Gouriet
    Gerald Gouriet is a composer best known for his work on film and television scores, including the music for the crime drama "L.A. Takedown."
  • 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1835706dc8190b3f9743c0f336bb2 completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:51 p.m.