Triple

T9103555
Position Surface form Disambiguated ID Type / Status
Subject Flanders Campaign E218417 entity
Predicate commandedBy P1407 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: [Flanders Campaign, commandedBy, Jean-Baptiste Kléber]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jean-Baptiste Kléber
Context triple: [Flanders Campaign, commandedBy, 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cca56f1f10819091abadf7cd06c3a6 completed April 1, 2026, 4:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0183677cc8190b3140278f4c6de9c completed April 3, 2026, 7:42 p.m.
Created at: March 30, 2026, 7:15 p.m.