Triple

T7143304
Position Surface form Disambiguated ID Type / Status
Subject Corinne Marchand E166502 entity
Predicate givenName P17 FINISHED
Object Corinne E474749 NE FINISHED

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: Corinne | Statement: [Corinne Marchand, givenName, Corinne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corinne
Context triple: [Corinne Marchand, givenName, Corinne]
  • A. Corinne chosen
    Corinne is a feminine given name of French origin, often considered a variant of Corine and derived from the Greek name Korinna.
  • B. Sébastienne
    Sébastienne is a French feminine given name, used here as part of the full name Louise Sébastienne Gély.
  • C. Corinne, ou l’Italie
    Corinne, ou l’Italie is a 1807 novel by Madame de Staël that blends romance, travel narrative, and political reflection to explore Italian culture, female genius, and the conflict between passion and social convention.
  • D. Célestine
    Célestine is a French feminine given name of Latin origin, derived from "caelestis," meaning "heavenly" or "celestial."
  • E. Angélique
    Angélique is a French feminine given name historically borne by figures such as Angélique Diderot, the daughter of philosopher Denis Diderot.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e7d027d0819088598b2a9f71b1b7 completed March 27, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad98576481908b8b82f675079fca completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:46 p.m.