Triple
T12180426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donya Fiorentino |
E290200
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Fiorentino
Fiorentino is an Italian-origin surname borne by various notable individuals in fields such as acting, sports, and the arts.
|
E968274
|
NE FINISHED |
How this triple was built (4 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: [Donya Fiorentino, familyName, Fiorentino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fiorentino Context triple: [Donya Fiorentino, familyName, Fiorentino]
-
A.
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.
-
B.
Pratovecchio
Pratovecchio is a small historic town in Tuscany, central Italy, known for its medieval heritage and scenic setting in the Casentino valley.
-
C.
Faenza
Faenza is a historic city in Italy’s Emilia-Romagna region, renowned for its traditional ceramics and artistic majolica production.
-
D.
Trevigiani
Trevigiani are the inhabitants or natives of Treviso, a city in the Veneto region of northeastern Italy.
-
E.
Fasano
Fasano is a historic town and popular tourist destination in the Apulia region of southern Italy, known for its whitewashed old center, nearby trulli houses, and coastal resorts.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fiorentino Triple: [Donya Fiorentino, familyName, Fiorentino]
Generated description
Fiorentino is an Italian-origin surname borne by various notable individuals in fields such as acting, sports, and the arts.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fiorentino Target entity description: Fiorentino is an Italian-origin surname borne by various notable individuals in fields such as acting, sports, and the arts.
-
A.
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.
-
B.
Pratovecchio
Pratovecchio is a small historic town in Tuscany, central Italy, known for its medieval heritage and scenic setting in the Casentino valley.
-
C.
Faenza
Faenza is a historic city in Italy’s Emilia-Romagna region, renowned for its traditional ceramics and artistic majolica production.
-
D.
Trevigiani
Trevigiani are the inhabitants or natives of Treviso, a city in the Veneto region of northeastern Italy.
-
E.
Fasano
Fasano is a historic town and popular tourist destination in the Apulia region of southern Italy, known for its whitewashed old center, nearby trulli houses, and coastal resorts.
- F. None of above. chosen
Provenance (5 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d915fc451c819086a2a97967b82908 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6acee6481908ee4129956c98c52 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f6022ecf38819080f0eb6a3a815c5b |
completed | May 2, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f606560934819092ba4d4fa162b799 |
completed | May 2, 2026, 2:12 p.m. |
Created at: April 8, 2026, 9:50 p.m.