Triple

T12067878
Position Surface form Disambiguated ID Type / Status
Subject Brigitte Fouré E287343 entity
Predicate name P16 FINISHED
Object Brigitte Fouré E287343 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 Fouré | Statement: [Brigitte Fouré, name, Brigitte Fouré]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brigitte Fouré
Context triple: [Brigitte Fouré, name, Brigitte Fouré]
  • A. Brigitte Fouré chosen
    Brigitte Fouré is a French politician known for serving as the mayor of the city of Amiens.
  • B. Françoise Schein
    Françoise Schein is a Belgian-born artist and architect known for large-scale public artworks, often in metro stations, that integrate human rights themes and typographic design.
  • C. Brigitte Aron
    Brigitte Aron is known primarily as the daughter of the influential French philosopher, sociologist, and political commentator Raymond Aron.
  • D. Sylviane Alaux
    Sylviane Alaux is a French politician known for her involvement in centrist and independent political movements.
  • E. Hélène Carrère d’Encausse
    Hélène Carrère d’Encausse was a French historian and political scientist, renowned for her expertise on Russian and Soviet history and for serving as a prominent member and leader of the Académie française.
  • 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_69d6ab4846e081908ee7bbd66a6d3459 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904423dc08190a47194422255c62e completed April 10, 2026, 2:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6717defe48190bc63b83e2c276ebc completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:48 p.m.