Triple

T22184791
Position Surface form Disambiguated ID Type / Status
Subject Georgette Charpentier E548265 entity
Predicate familyName P18 FINISHED
Object Charpentier 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: Charpentier | Statement: [Georgette Charpentier, familyName, Charpentier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charpentier
Context triple: [Georgette Charpentier, familyName, Charpentier]
  • A. Charpentier chosen
    Charpentier is a French surname borne by various notable individuals across fields such as science, arts, and politics.
  • B. d’Anthès
    d’Anthès is the French noble family name most famously borne by Georges-Charles de Heeckeren d’Anthès, known for his fatal duel with the Russian poet Alexander Pushkin.
  • C. Gauthier
    Gauthier is a French given name and surname, equivalent to the English name Walter and historically borne by various notable figures in France and other Francophone regions.
  • D. Roussel
    Roussel is a surname of French origin, often used as an alternative spelling of Russell.
  • E. Delannay
    Delannay is a variant spelling of the surname Delannoy, which is of French origin.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aa823888190829368de6db4aa91 completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.