Triple

T18741206
Position Surface form Disambiguated ID Type / Status
Subject Michele Mouton E458295 entity
Predicate familyName P18 FINISHED
Object Mouton 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: Mouton | Statement: [Michele Mouton, familyName, Mouton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mouton
Context triple: [Michele Mouton, familyName, Mouton]
  • A. Mouton chosen
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • B. Mouton-Duvernet
    Mouton-Duvernet is a Paris Métro station in the 14th arrondissement, serving the Montparnasse area and named after the French general Régis Barthélemy Mouton-Duvernet.
  • C. Cagne
    The Cagne is a small coastal river in southeastern France that flows through the town of Cagnes-sur-Mer into the Mediterranean Sea.
  • D. Gouet
    Gouet is an old French white grape variety, better known as Gouais Blanc, historically used in Europe and notable as a parent of many classic wine grapes.
  • E. Grévy
    Grévy is a French surname most notably associated with Jules Grévy, a 19th-century President of France.
  • 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_69d8d394dc308190b6725073f5db324c completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5768ecc2081908143310190ffb460 completed April 20, 2026, 12:42 a.m.
Created at: April 10, 2026, 11:51 a.m.