Triple
T7699016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosa Vercellana |
E174441
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Vercellana
Vercellana is an Italian surname most notably associated with Rosa Vercellana, the morganatic wife of King Victor Emmanuel II of Italy.
|
E682831
|
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: Vercellana | Statement: [Rosa Vercellana, familyName, Vercellana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vercellana Context triple: [Rosa Vercellana, familyName, Vercellana]
-
A.
Gallarate
Gallarate is a town in the Lombardy region of northern Italy, situated in the province of Varese and forming part of the greater Milan metropolitan area.
-
B.
Valdieri
Valdieri is a small Italian mountain municipality in the Piedmont region, known as a gateway to the Maritime Alps and nearby natural parks.
-
C.
Casentino
Casentino is a scenic valley in eastern Tuscany, Italy, known for its medieval towns, forests, and the upper course of the Arno River.
-
D.
Verbanesi
Verbanesi are the inhabitants or natives of Verbania, a city in the Piedmont region of northern Italy on the shores of Lake Maggiore.
-
E.
Vaccarèse
Vaccarèse is a rare, traditional red wine grape variety from France’s Southern Rhône, valued for adding color, freshness, and aromatic complexity to blends.
- 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: Vercellana Triple: [Rosa Vercellana, familyName, Vercellana]
Generated description
Vercellana is an Italian surname most notably associated with Rosa Vercellana, the morganatic wife of King Victor Emmanuel II of Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vercellana Target entity description: Vercellana is an Italian surname most notably associated with Rosa Vercellana, the morganatic wife of King Victor Emmanuel II of Italy.
-
A.
Gallarate
Gallarate is a town in the Lombardy region of northern Italy, situated in the province of Varese and forming part of the greater Milan metropolitan area.
-
B.
Valdieri
Valdieri is a small Italian mountain municipality in the Piedmont region, known as a gateway to the Maritime Alps and nearby natural parks.
-
C.
Casentino
Casentino is a scenic valley in eastern Tuscany, Italy, known for its medieval towns, forests, and the upper course of the Arno River.
-
D.
Verbanesi
Verbanesi are the inhabitants or natives of Verbania, a city in the Piedmont region of northern Italy on the shores of Lake Maggiore.
-
E.
Vaccarèse
Vaccarèse is a rare, traditional red wine grape variety from France’s Southern Rhône, valued for adding color, freshness, and aromatic complexity to blends.
- 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_69c6995a72cc8190998e56daa6f8e453 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7026a8268819097c03458ed263a55 |
completed | March 27, 2026, 10:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8acb3ac4481909acafe50b9507aaa |
completed | March 29, 2026, 4:38 a.m. |
| NEDg | Description generation | batch_69c8adeb3948819087404b0d7d7e619e |
completed | March 29, 2026, 4:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8aedede388190b8eb79cea223c31c |
completed | March 29, 2026, 4:47 a.m. |
Created at: March 27, 2026, 4:03 p.m.