Triple

T12436162
Position Surface form Disambiguated ID Type / Status
Subject Martine Aubry E297148 entity
Predicate familyName P18 FINISHED
Object Delors E149247 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: Delors | Statement: [Martine Aubry, familyName, Delors]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Delors
Context triple: [Martine Aubry, familyName, Delors]
  • A. Jacques Delors chosen
    Jacques Delors is a French politician and former President of the European Commission who played a key role in advancing European integration and the creation of the euro.
  • B. Boris Eustache
    Boris Eustache is the son of French filmmaker Jean Eustache, known mainly in relation to his father's life and work.
  • C. Antoine Veil
    Antoine Veil was a French civil servant and businessman best known as the husband of prominent politician and Holocaust survivor Simone Veil.
  • D. Michel Lefait
    Michel Lefait is a French politician known for his role in establishing the centrist political party Union des Démocrates et Indépendants (UDI).
  • E. Paul Schützenberger
    Paul Schützenberger was a 19th-century French chemist known for his work in inorganic and industrial chemistry and for helping shape scientific education in France.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8c8fd481909b35ac504127a1b6 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b9aaf9c819098e8f8ba40c73363 completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:55 p.m.