Triple

T14290394
Position Surface form Disambiguated ID Type / Status
Subject Maria Letizia Ramolino E354294 entity
Predicate familyName P18 FINISHED
Object Ramolino E353761 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: Ramolino | Statement: [Maria Letizia Ramolino, familyName, Ramolino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramolino
Context triple: [Maria Letizia Ramolino, familyName, Ramolino]
  • A. Ramolino chosen
    Ramolino is an Italian surname historically associated with Corsican nobility and notably borne by Letizia Ramolino, the mother of Napoleon Bonaparte.
  • B. Morolo
    Morolo is a small town and comune in the province of Frosinone in Italy’s Lazio region.
  • C. Molinaro
    Molinaro is an Italian occupational surname, historically associated with millers and derived from the same root as "Molinero."
  • D. Zocca
    Zocca is a small Italian town in the Emilia-Romagna region, known as the birthplace of rock musician Vasco Rossi and for its Apennine mountain setting.
  • E. Vacallo
    Vacallo is a small municipality in the canton of Ticino in southern Switzerland, located near the Italian border.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6981e9148190baf2ed56a7b7340e completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1fee448190bcafb37dd6618d60 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.