Triple

T6036568
Position Surface form Disambiguated ID Type / Status
Subject Napoleon I (as heir) E134435 entity
Predicate hasMother P1909 FINISHED
Object Letizia Ramolino E13478 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: Letizia Ramolino | Statement: [Napoleon I (as heir), hasMother, Letizia Ramolino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Letizia Ramolino
Context triple: [Napoleon I (as heir), hasMother, Letizia Ramolino]
  • A. Letizia Ramolino chosen
    Letizia Ramolino was a Corsican noblewoman best known as the mother of French Emperor Napoleon Bonaparte and a matriarch of the Bonaparte family.
  • B. Doria Palmieri
    Doria Palmieri is best known as the wife of Ron Reagan, the son of former U.S. President Ronald Reagan.
  • C. Lilia Vetti
    Lilia Vetti was the wife of famed French singer and actor Tino Rossi.
  • D. Cecilia Frugiuele
    Cecilia Frugiuele is a screenwriter best known for co-writing the acclaimed coming-of-age film "The Miseducation of Cameron Post."
  • E. Daniela Farinacci
    Daniela Farinacci is an Australian actress known for her work in film, television, and theatre, including a notable role in the acclaimed drama "Lantana."
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056cb06508190a90beb4d9d083835 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11cf60d00819084bc8405595f7989 completed March 23, 2026, 10:59 a.m.
Created at: March 22, 2026, 4:08 p.m.