Triple
T15483407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letizia Bonaparte |
E376978
|
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: [Letizia Bonaparte, familyName, Ramolino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ramolino Context triple: [Letizia Bonaparte, 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f8e6ff08190b130b3a38f4190e7 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff365b3980819094d3ca0b7766009c |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:42 a.m.