Triple
T18812756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Fiorentino |
E460056
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Fiorentino |
—
|
NE NERFINISHED |
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: Fiorentino | Statement: [Linda Fiorentino, familyName, Fiorentino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fiorentino Context triple: [Linda Fiorentino, familyName, Fiorentino]
-
A.
Fiorentino
chosen
Fiorentino is an Italian-origin surname borne by various notable individuals in fields such as acting, sports, and the arts.
-
B.
Fiorenzo
Fiorenzo is an Italian given name, notably borne by the celebrated professional cyclist Fiorenzo Magni.
-
C.
Sesto Fiorentino
Sesto Fiorentino is a town in the Metropolitan City of Florence in Tuscany, central Italy, known for its historical center and traditional ceramics industry.
-
D.
Pratovecchio
Pratovecchio is a small historic town in Tuscany, central Italy, known for its medieval heritage and scenic setting in the Casentino valley.
-
E.
Santa Florentina
Santa Florentina is a small settlement in the Chilecito Department of La Rioja Province in northwestern Argentina.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3dcc7d88190801d9c9202e0e411 |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.