Triple

T13665659
Position Surface form Disambiguated ID Type / Status
Subject Michel Rocard E327112 entity
Predicate familyName P18 FINISHED
Object Rocard E327112 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: Rocard | Statement: [Michel Rocard, familyName, Rocard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rocard
Context triple: [Michel Rocard, familyName, Rocard]
  • A. Rocard chosen
    Rocard is a French surname most notably associated with Michel Rocard, a former Prime Minister of France and prominent Socialist politician.
  • B. Caillaux
    Caillaux is a French surname most notably associated with Joseph Caillaux, an influential early 20th-century French politician and statesman.
  • C. Aspremont
    Aspremont is a small picturesque commune in southeastern France, situated in the hills above Nice in the Alpes-Maritimes department.
  • D. Doumergue
    Doumergue is the surname of Gaston Doumergue, a French statesman who served as President of France in the early 20th century.
  • E. Guerin
    Guerin is a surname of French origin borne by various notable individuals across fields such as arts, sports, and public life.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc623fcc88190bbad97541c040b7a completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78b0ac4c88190ab6f753c6847eb6e completed May 3, 2026, 5:51 p.m.
Created at: April 9, 2026, 9:52 p.m.