Triple

T21234744
Position Surface form Disambiguated ID Type / Status
Subject Anaxagoras Chaumette E523313 entity
Predicate familyName P18 FINISHED
Object Chaumette 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: Chaumette | Statement: [Anaxagoras Chaumette, familyName, Chaumette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chaumette
Context triple: [Anaxagoras Chaumette, familyName, Chaumette]
  • A. Chaumette chosen
    Chaumette is a French surname most notably associated with Pierre-Gaspard Chaumette, a radical political figure of the French Revolution.
  • B. Saint-Just
    Saint-Just is a historic district in Lyon, France, known for its hillside location above the Saône River and its connection to the city center by funicular.
  • C. Le Fayet
    Le Fayet is a village in the French Alps that serves as a gateway and lower terminus for the historic Tramway du Mont-Blanc mountain railway.
  • D. Boizel
    Boizel is a historic Champagne producer renowned for its elegant, terroir-driven sparkling wines crafted in Épernay, France.
  • E. Racamier
    Racamier is a French surname most notably borne by Henri Racamier, the businessman who transformed Louis Vuitton into a global luxury brand.
  • 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7351f0e988190bb77b598cb8a9532 completed April 21, 2026, 8:28 a.m.
Created at: April 16, 2026, 3:46 p.m.