Triple

T22504368
Position Surface form Disambiguated ID Type / Status
Subject Francis Bouygues E556351 entity
Predicate name P16 FINISHED
Object Francis Bouygues NE NERFINISHED

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: Francis Bouygues | Statement: [Francis Bouygues, name, Francis Bouygues]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francis Bouygues
Context triple: [Francis Bouygues, name, Francis Bouygues]
  • A. Francis Bouygues chosen
    Francis Bouygues was a French entrepreneur and engineer best known as the founder of the Bouygues construction and telecommunications conglomerate.
  • B. Martin Bouygues
    Martin Bouygues is a French businessman best known as the longtime chairman and CEO of the Bouygues industrial group, active in construction, media, and telecommunications.
  • C. Thierry Weill
    Thierry Weill is a French sports administrator best known for serving as the marketing director of UEFA, European football’s governing body.
  • D. Pascal Soriot
    Pascal Soriot is a French-born business executive best known for leading the global biopharmaceutical company AstraZeneca as its chief executive.
  • E. Dominique Tapie
    Dominique Tapie is a French public figure best known as the widow of businessman and politician Bernard Tapie, often appearing in the media in connection with his high-profile career and legal affairs.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5ac5808190a66f9111c350f4dc completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.