Triple

T7782295
Position Surface form Disambiguated ID Type / Status
Subject Corinne Quayle E221549 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 Quayle, givenName, Corinne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Corinne
Context triple: [Corinne Quayle, 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_69ca83ebbef881909ac47f789145fef7 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cadf1dcc6c8190b3c6ee4ff7808e02 completed March 30, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69caf5d30c748190bbb71534cfdf4f75 completed March 30, 2026, 10:14 p.m.
Created at: March 30, 2026, 4:21 p.m.