Triple

T808049
Position Surface form Disambiguated ID Type / Status
Subject Louis Bonaparte E17480 entity
Predicate sibling P363 FINISHED
Object Joseph Bonaparte 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: Joseph Bonaparte | Statement: [Louis Bonaparte, sibling, Joseph Bonaparte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joseph Bonaparte
Context triple: [Louis Bonaparte, sibling, Joseph Bonaparte]
  • A. 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.
  • B. Jérôme Bonaparte
    Jérôme Bonaparte was the youngest brother of Napoleon who became King of Westphalia and later served as a Marshal of France.
  • C. 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.
  • D. 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.
  • E. Louis XVIII of France
    Louis XVIII of France was the Bourbon king who restored the monarchy after Napoleon’s fall and ruled during the turbulent period of the post-Revolutionary Restoration.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab23862c8190bfd6558936c58410 completed March 1, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad15866b448190b20334eddca756eb completed March 8, 2026, 6:21 a.m.
Created at: March 1, 2026, 7:38 p.m.