Triple

T7367180
Position Surface form Disambiguated ID Type / Status
Subject Brigitte Macron E169899 entity
Predicate givenName P17 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: [Brigitte Macron, givenName, Brigitte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brigitte
Context triple: [Brigitte Macron, givenName, 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f17ea0608190955ac3474f6da7bb completed March 27, 2026, 9:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802bc25908190ad444de63b7526a0 completed March 28, 2026, 4:33 p.m.
Created at: March 27, 2026, 3:06 p.m.