Triple

T6258687
Position Surface form Disambiguated ID Type / Status
Subject Jean-Baptiste Kléber E140239 entity
Predicate familyName P18 FINISHED
Object Kléber E555275 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: Kléber | Statement: [Jean-Baptiste Kléber, familyName, Kléber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kléber
Context triple: [Jean-Baptiste Kléber, familyName, Kléber]
  • A. Kléber chosen
    Kléber is a French tire brand known for producing mid-range, reliable tires for passenger cars and light commercial vehicles.
  • B. Jean-Baptiste Kléber
    Jean-Baptiste Kléber was a prominent French general of the Revolutionary Wars, noted for his military skill in campaigns across Europe and the Middle East.
  • C. Jean Murat
    Jean Murat was a French film actor known for his roles in early 20th-century cinema and his marriage to actress Annabella.
  • D. Gambetta
    Gambetta is a French surname most famously associated with Léon Gambetta, a prominent 19th-century French statesman and republican leader.
  • E. Toussaint Bréda
    Toussaint Bréda, better known as Toussaint Louverture, was the formerly enslaved leader who became the principal architect and military strategist of the Haitian Revolution and a founding figure of Haiti’s independence movement.
  • 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_69c008c95c5c819084bd3dd56133d84d completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06367e0b48190967ebfb9bfbc9732 completed March 22, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5192b99d4819083ab6e6f2092547b completed March 26, 2026, 11:31 a.m.
Created at: March 22, 2026, 4:24 p.m.