Triple

T8979085
Position Surface form Disambiguated ID Type / Status
Subject Bridgette E214474 entity
Predicate hasSpellingVariant P457 FINISHED
Object Brigitte E169899 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: Brigitte | Statement: [Bridgette, hasSpellingVariant, Brigitte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brigitte
Context triple: [Bridgette, hasSpellingVariant, Brigitte]
  • A. Brigitte chosen
    Brigitte is a French former teacher best known as the wife of Emmanuel Macron, the President of France.
  • B. Mireille
    Mireille is a five-act French opera by Charles Gounod, based on Frédéric Mistral’s Provençal poem "Mirèio."
  • C. Renée
    Renée is a feminine given name of French origin, commonly used in French-speaking countries and beyond.
  • D. Ghislaine
    Ghislaine is a given name of French origin, used as one of the personal names of Mathilde Marie Christine Ghislaine d’Udekem d’Acoz, the Queen of the Belgians.
  • E. Camille Roux
    Camille Roux was an artist associated with the Impressionist movement who participated in the historic Impressionist exhibitions in late 19th-century France.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a4b3e88190b778a9b5589cab6d completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc9719f5c8190bc22c3c7375b54f7 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:03 p.m.