Triple

T14270218
Position Surface form Disambiguated ID Type / Status
Subject Letizia Ramolino E353761 entity
Predicate child P120 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: [Letizia Ramolino, child, Elisa Bonaparte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elisa Bonaparte
Context triple: [Letizia Ramolino, child, 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de657fe6708190b41de48c43cff647 completed April 14, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8aa2b7908190831e6c07abcc091d completed May 8, 2026, 7:02 a.m.
Created at: April 10, 2026, 1:10 a.m.