Triple

T11737521
Position Surface form Disambiguated ID Type / Status
Subject Bruno Latour E279067 entity
Predicate spouse P13 FINISHED
Object Chantal Latour E279067 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: Chantal Latour | Statement: [Bruno Latour, spouse, Chantal Latour]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chantal Latour
Context triple: [Bruno Latour, spouse, Chantal Latour]
  • A. Chantal Latour chosen
    Chantal Latour is known primarily as the wife of influential French philosopher and sociologist of science Bruno Latour.
  • B. Sylvie Gaucher
    Sylvie Gaucher is a French local politician serving as the mayor of the commune of Guilherand-Granges.
  • C. Laure Prouvost
    Laure Prouvost is a French-born, Turner Prize–winning contemporary artist known for her immersive, narrative-driven installations and films that play with language, translation, and perception.
  • D. Suzanne Déchevaux-Dumesnil
    Suzanne Déchevaux-Dumesnil was a French tennis player and longtime partner and later wife of writer Samuel Beckett, known for her crucial support of his life and work.
  • E. Catherine Lalumière
    Catherine Lalumière is a French politician and lawyer known for her prominent role in European institutions and advocacy for European integration and human rights.
  • 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_69d6aaffec6881908bead509e8621742 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a4ef1c4881909ad36dc27b1fe193 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f48a1d244c81908628b01afe467023 completed May 1, 2026, 11:10 a.m.
Created at: April 8, 2026, 9:41 p.m.