Triple
T16751755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniele da Volterra |
E407097
|
entity |
| Predicate | studentOf |
P48
|
FINISHED |
| Object |
Perin del Vaga
Perin del Vaga was a prominent Italian Mannerist painter and decorator of the High Renaissance, known for his refined frescoes and work in Rome and Genoa.
|
E1232144
|
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: Perin del Vaga | Statement: [Daniele da Volterra, studentOf, Perin del Vaga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perin del Vaga Context triple: [Daniele da Volterra, studentOf, Perin del Vaga]
-
A.
Seu Vella
Seu Vella is a historic hilltop cathedral and iconic landmark overlooking the city of Lleida in Catalonia, Spain.
-
B.
Garvanza
Garvanza is a historic neighborhood in Northeast Los Angeles known for its early arts community, Craftsman architecture, and role in the development of the Arroyo culture movement.
-
C.
Vannino
Vannino is an Italian diminutive given name derived from Giovanni, commonly used as an affectionate or familiar form.
-
D.
Val Cavallina
Val Cavallina is a scenic valley in the Lombardy region of northern Italy, known for its lakes, hills, and small historic towns.
-
E.
Lazzara
Lazzara is the birth surname of acclaimed American actress and singer Bernadette Peters.
- 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: Perin del Vaga Triple: [Daniele da Volterra, studentOf, Perin del Vaga]
Generated description
Perin del Vaga was a prominent Italian Mannerist painter and decorator of the High Renaissance, known for his refined frescoes and work in Rome and Genoa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Perin del Vaga Target entity description: Perin del Vaga was a prominent Italian Mannerist painter and decorator of the High Renaissance, known for his refined frescoes and work in Rome and Genoa.
-
A.
Seu Vella
Seu Vella is a historic hilltop cathedral and iconic landmark overlooking the city of Lleida in Catalonia, Spain.
-
B.
Garvanza
Garvanza is a historic neighborhood in Northeast Los Angeles known for its early arts community, Craftsman architecture, and role in the development of the Arroyo culture movement.
-
C.
Vannino
Vannino is an Italian diminutive given name derived from Giovanni, commonly used as an affectionate or familiar form.
-
D.
Val Cavallina
Val Cavallina is a scenic valley in the Lombardy region of northern Italy, known for its lakes, hills, and small historic towns.
-
E.
Lazzara
Lazzara is the birth surname of acclaimed American actress and singer Bernadette Peters.
- 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa271de48190b4a535408aeef734 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52402848190b029cb0be31b4c74 |
completed | May 10, 2026, 3:32 p.m. |
| NEDg | Description generation | batch_6a00a5c4e934819088db49d81be154c3 |
completed | May 10, 2026, 3:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00a6b84d288190aeccb06745146b80 |
completed | May 10, 2026, 3:39 p.m. |
Created at: April 10, 2026, 5:21 a.m.