Triple

T6071040
Position Surface form Disambiguated ID Type / Status
Subject Léon Gambetta E135280 entity
Predicate givenName P17 FINISHED
Object Léon E70702 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: Léon | Statement: [Léon Gambetta, givenName, Léon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Léon
Context triple: [Léon Gambetta, givenName, Léon]
  • A. Léon chosen
    Léon is a French surname borne by various notable individuals across fields such as politics, arts, and academia.
  • B. Léon: The Professional
    Léon: The Professional is a 1994 crime thriller film by Luc Besson about a hitman who forms an unusual bond with a young girl after her family is murdered.
  • C. Le Fel
    Le Fel is a commune in southern France whose name is borne by the Entraygues-le-Fel Appellation d'Origine Contrôlée wine region.
  • D. Joe le taxi
    "Joe le taxi" is a 1987 French pop song by Vanessa Paradis that became an international hit and launched her to fame as a teenage singer.
  • E. Renard
    Renard is the primary villain in the James Bond film "The World Is Not Enough," a terrorist whose inability to feel pain makes him a particularly relentless and dangerous adversary.
  • 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_69c00879e8048190b690717d19c5bc03 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05758a21c81909cc10ef5f725a489 completed March 22, 2026, 8:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d349f288190833384eb9e6c7f52 completed March 23, 2026, 11 a.m.
Created at: March 22, 2026, 4:10 p.m.