Triple

T7142946
Position Surface form Disambiguated ID Type / Status
Subject Battle of Mount Tabor E166492 entity
Predicate commander P1061 FINISHED
Object Jean-Baptiste Kléber E140239 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: Jean-Baptiste Kléber | Statement: [Battle of Mount Tabor, commander, Jean-Baptiste Kléber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Baptiste Kléber
Context triple: [Battle of Mount Tabor, commander, Jean-Baptiste Kléber]
  • A. Jean-Baptiste Kléber chosen
    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.
  • B. Kléber
    Kléber is a French tire brand known for producing mid-range, reliable tires for passenger cars and light commercial vehicles.
  • C. Jean Lannes
    Jean Lannes was a prominent French marshal of the Napoleonic Wars, renowned for his aggressive leadership and key role in many of Napoleon’s major victories.
  • D. Jean-Baptiste Jourdan
    Jean-Baptiste Jourdan was a prominent French Revolutionary general and later Marshal of France, noted for his key victories against coalition forces during the Revolutionary Wars.
  • E. Jean Murat
    Jean Murat was a French film actor known for his roles in early 20th-century cinema and his marriage to actress Annabella.
  • 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_69c6888579d481909e05a8d6b81bf733 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e779ace48190be9c33750e60a79e completed March 27, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7ad98576481908b8b82f675079fca completed March 28, 2026, 10:29 a.m.
Created at: March 27, 2026, 2:45 p.m.