Triple

T13715898
Position Surface form Disambiguated ID Type / Status
Subject Bérégovoy E328897 entity
Predicate usedBy P260 FINISHED
Object Pierre Bérégovoy E65525 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: Pierre Bérégovoy | Statement: [Bérégovoy, usedBy, Pierre Bérégovoy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierre Bérégovoy
Context triple: [Bérégovoy, usedBy, Pierre Bérégovoy]
  • A. Pierre Bérégovoy chosen
    Pierre Bérégovoy was a French Socialist politician who served as Prime Minister of France in the early 1990s under President François Mitterrand.
  • B. Michel Crozier
    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.
  • C. Jacques Charrier
    Jacques Charrier is a French actor and artist best known for his 1950s–60s film roles and his high-profile marriage to Brigitte Bardot.
  • 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. Jean-Pierre Brisset
    Jean-Pierre Brisset was a French autodidact, writer, and eccentric linguist whose bizarre theories about language and the origins of humanity later made him a celebrated precursor of Surrealism.
  • 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd43973cf08190a417d0cca9dd314a completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7cfcf748190944ffea7582d4f66 completed May 7, 2026, 8:36 p.m.
Created at: April 9, 2026, 9:54 p.m.