Triple

T14357912
Position Surface form Disambiguated ID Type / Status
Subject Honoré Mercier E356018 entity
Predicate givenName P17 FINISHED
Object Honoré E71662 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: Honoré | Statement: [Honoré Mercier, givenName, Honoré]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Honoré
Context triple: [Honoré Mercier, givenName, Honoré]
  • A. Honoré chosen
    Honoré is the given name of the renowned 19th-century French novelist and playwright Honoré de Balzac.
  • B. Maxime
    Maxime is a French given name commonly used for males, derived from the Latin name Maximus meaning "greatest."
  • C. Ambroise
    Ambroise is a modern digital revival of classic Didone-style typefaces, characterized by high contrast between thick and thin strokes and elegant, refined letterforms.
  • D. Antoine
    Antoine is the given name of Antoine de la Mothe Cadillac, the French explorer and founder of Detroit.
  • E. Antoine
    Antoine is a character in Honoré de Balzac’s novel "The Wild Ass's Skin," appearing within its exploration of desire, fate, and the consequences of wish fulfillment.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f52ca7881908704eef20228aed3 completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d7ed3ec8190b97128733419845b completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:15 a.m.