Triple

T13458349
Position Surface form Disambiguated ID Type / Status
Subject Paul Painlevé E311292 entity
Predicate name P16 FINISHED
Object Paul Painlevé E311292 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: Paul Painlevé | Statement: [Paul Painlevé, name, Paul Painlevé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Painlevé
Context triple: [Paul Painlevé, name, Paul Painlevé]
  • A. Paul Painlevé chosen
    Paul Painlevé was a French mathematician and statesman who served twice as Prime Minister of France during the early 20th century.
  • B. Ernest Vessiot
    Ernest Vessiot was a French mathematician known for his contributions to differential equations and differential Galois theory, and for his influential role in French mathematical education.
  • C. Auguste-Louis Faguet
    Auguste-Louis Faguet was a French interior designer known for his work on prestigious residences such as the Petit Château.
  • D. Émile Picard
    Émile Picard was a prominent French mathematician known for his fundamental contributions to complex analysis and algebraic geometry, including Picard's theorems.
  • E. Émile Faguet
    Émile Faguet was a prominent French literary critic, historian of literature, and member of the Académie Française known for his influential studies of French authors and ideas.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0a75008190a508060c85f73604 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739a001d08190ae5664c6670540e7 completed May 3, 2026, 12:03 p.m.
Created at: April 9, 2026, 9:41 p.m.