Triple

T783977
Position Surface form Disambiguated ID Type / Status
Subject Joseph Bonaparte E16559 entity
Predicate birthName P65 FINISHED
Object Giuseppe Buonaparte E16559 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: Giuseppe Buonaparte | Statement: [Joseph Bonaparte, birthName, Giuseppe Buonaparte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Giuseppe Buonaparte
Context triple: [Joseph Bonaparte, birthName, Giuseppe Buonaparte]
  • A. 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.
  • B. Carlo Buonaparte
    Carlo Buonaparte was a Corsican lawyer and politician best known as the father of French emperor Napoleon Bonaparte.
  • C. Jérôme Bonaparte
    Jérôme Bonaparte was the youngest brother of Napoleon who became King of Westphalia and later served as a Marshal of France.
  • D. Joseph Bonaparte chosen
    Joseph Bonaparte was the elder brother of Napoleon who became King of Naples and later King of Spain 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_69ac82e8bd788190a20a580bae9bd94e completed March 7, 2026, 7:56 p.m.
Created at: March 1, 2026, 7:37 p.m.