Triple

T21173625
Position Surface form Disambiguated ID Type / Status
Subject François de Charette E521751 entity
Predicate familyName P18 FINISHED
Object de Charette 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: de Charette | Statement: [François de Charette, familyName, de Charette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Charette
Context triple: [François de Charette, familyName, de Charette]
  • A. Hervé de Charette
    Hervé de Charette is a French politician and former government minister who has held several prominent roles in center-right parties and national politics.
  • B. François Charlier
    François Charlier is a French local politician serving as the mayor of the commune of Broglie in the Eure department of Normandy.
  • C. Frantz Charlet
    Frantz Charlet was a Belgian painter associated with the avant-garde art movement of the late 19th century, known for his involvement in progressive artistic circles.
  • D. François de Charette chosen
    François de Charette was a French royalist military leader who became one of the most prominent commanders of the counter-revolutionary forces during the War in the Vendée in the French Revolution.
  • E. Pierre Chartier
    Pierre Chartier was an 18th-century French-Canadian fur trader and leader of a mixed French and Shawnee community in the Ohio Valley region of North America.
  • 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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72714d3f48190871c5e35c3887d7f completed April 21, 2026, 7:28 a.m.
Created at: April 16, 2026, 3 p.m.