Triple

T7544907
Position Surface form Disambiguated ID Type / Status
Subject Lodewijk Napoleon E178375 entity
Predicate sibling P363 FINISHED
Object Elisa Bonaparte E13477 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: Elisa Bonaparte | Statement: [Lodewijk Napoleon, sibling, Elisa Bonaparte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elisa Bonaparte
Context triple: [Lodewijk Napoleon, sibling, Elisa Bonaparte]
  • A. Elisa Bonaparte chosen
    Elisa Bonaparte was a French princess and political figure of the Napoleonic era, best known for governing Tuscany and Lucca under her brother Napoleon’s rule.
  • B. Letizia Bonaparte
    Letizia Bonaparte was the mother of Napoleon Bonaparte and a prominent matriarch of the Bonaparte family during the Napoleonic era.
  • C. Julie Charlotte Bonaparte
    Julie Charlotte Bonaparte was a 19th-century member of the Bonaparte family, part of the extended Napoleonic dynasty.
  • D. Bathilde Aloysia Bonaparte
    Bathilde Aloysia Bonaparte was a lesser-known member of the Bonaparte family, descended from Napoleon Bonaparte’s brother Joseph through his daughter Zénaïde.
  • E. Mathilde Bonaparte
    Mathilde Bonaparte was a 19th-century French princess and prominent salonnière of the Bonaparte family, known for her influence in Parisian cultural and intellectual life.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f898069881909fa8f9c885c4565b completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856b93188819080c769a2a1b122f4 completed March 28, 2026, 10:31 p.m.
Created at: March 27, 2026, 3:48 p.m.