Triple

T21513468
Position Surface form Disambiguated ID Type / Status
Subject Crozier E530785 entity
Predicate hasNotableBearer P458 FINISHED
Object Michel Crozier 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: Michel Crozier | Statement: [Crozier, hasNotableBearer, Michel Crozier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michel Crozier
Context triple: [Crozier, hasNotableBearer, Michel Crozier]
  • A. Michel Crozier chosen
    Michel Crozier was a prominent French sociologist best known for his influential work on bureaucracy, organizational analysis, and the dynamics of power and change in modern institutions.
  • B. Pierre Bérégovoy
    Pierre Bérégovoy was a French Socialist politician who served as Prime Minister of France in the early 1990s under President François Mitterrand.
  • C. Claude Allègre
    Claude Allègre is a French geochemist and politician known for his influential work in Earth sciences and his controversial views on climate change.
  • D. Jean-Louis Debré
    Jean-Louis Debré is a French politician and jurist who has served as President of both the National Assembly and the Constitutional Council of France.
  • E. Michel Droit
    Michel Droit was a French writer, journalist, and member of the Académie Française known for his novels, essays, and prominent role in French cultural life in the 20th century.
  • 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_69e0c45c81f08190a6b8bbb70a45aae7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9ea88e6fc8190a4b73b8d32dae5a8 completed April 23, 2026, 9:46 a.m.
Created at: April 16, 2026, 6:25 p.m.