Triple

T15961447
Position Surface form Disambiguated ID Type / Status
Subject Painlevé–Kruskal theorem E387067 entity
Predicate namedAfter P63 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: [Painlevé–Kruskal theorem, namedAfter, Paul Painlevé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Painlevé
Context triple: [Painlevé–Kruskal theorem, namedAfter, 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15700651c819091c1cc4f60894c35 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffbe827d248190adbfd41f55638ebd completed May 9, 2026, 11:08 p.m.
Created at: April 10, 2026, 4:53 a.m.