Triple

T13607088
Position Surface form Disambiguated ID Type / Status
Subject Mazarine Pingeot E325089 entity
Predicate familyName P18 FINISHED
Object Pingeot E325089 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: Pingeot | Statement: [Mazarine Pingeot, familyName, Pingeot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pingeot
Context triple: [Mazarine Pingeot, familyName, Pingeot]
  • A. Pingeot chosen
    Pingeot is a French surname notably borne by Mazarine Pingeot, the writer and daughter of former French president François Mitterrand.
  • B. Groseau
    Groseau is a smaller watercourse in southeastern France that serves as a tributary feeding into the Ouvèze River.
  • C. Puget-Théniers
    Puget-Théniers is a small commune in southeastern France known for its picturesque setting in the Var valley and its historic Provençal village character.
  • D. Vallières
    Vallières is a commune in the Nord-Est department of Haiti, known as a small rural settlement within the country’s northern region.
  • E. Cheux
    Cheux is a small commune in the Calvados department of the Normandy region in northwestern 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07e442c819086a8cbb967c03ad3 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ae56e2081909c0fd044ce3730a9 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:50 p.m.