Triple

T783983
Position Surface form Disambiguated ID Type / Status
Subject Joseph Bonaparte E16559 entity
Predicate sibling P363 FINISHED
Object Jérôme Bonaparte E18454 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: Jérôme Bonaparte | Statement: [Joseph Bonaparte, sibling, Jérôme Bonaparte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jérôme Bonaparte
Context triple: [Joseph Bonaparte, sibling, Jérôme Bonaparte]
  • A. Jérôme Bonaparte chosen
    Jérôme Bonaparte was the youngest brother of Napoleon who became King of Westphalia and later served as a Marshal of France.
  • B. Joseph Bonaparte
    Joseph Bonaparte was the elder brother of Napoleon who became King of Naples and later King of Spain during the Napoleonic era.
  • C. Lucien Bonaparte
    Lucien Bonaparte was a French statesman and diplomat of the Revolutionary and Napoleonic eras, known for his political independence from his brother Napoleon and his role in the coup of 18 Brumaire.
  • D. Louis Bonaparte
    Louis Bonaparte was a younger brother of Napoleon who became King of Holland and played a notable role in European politics during the Napoleonic era.
  • E. Joachim Murat
    Joachim Murat was a French cavalry commander and Marshal of the Empire under Napoleon who became King of Naples in the early 19th century.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a769dc6481908f12e872f997acf3 completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac996309fc8190a177034f23807b2e completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:37 p.m.