Triple
T7956252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Perino del Vaga |
E184744
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Raphael’s workshop |
E16943
|
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: Raphael’s workshop | Statement: [Perino del Vaga, partOf, Raphael’s workshop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Raphael’s workshop Context triple: [Perino del Vaga, partOf, Raphael’s workshop]
-
A.
Leonardo’s workshop
Leonardo’s workshop was the collaborative studio of Leonardo da Vinci, where he and his assistants produced paintings, drawings, and other works of art and design under his supervision.
-
B.
Raphael
chosen
Raphael was a master Italian High Renaissance painter and architect renowned for his harmonious compositions and influential work in both painting and church design.
-
C.
Raphael
Raphael is an archangel in Judeo-Christian tradition, often associated with healing, guidance, and protection.
-
D.
Raphael
Raphael is the hot-headed, sai-wielding Ninja Turtle known for his toughness, impulsive nature, and fierce loyalty to his brothers.
-
E.
Pinturicchio
Pinturicchio was an Italian Renaissance painter known for his richly decorated frescoes in Rome and other Italian cities.
- 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_69ca8292cba881908a64427b938dac47 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b7d36c081908cc8760a0dbf6001 |
completed | March 31, 2026, 3:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0687cdc81909d31e1d964639f36 |
completed | March 31, 2026, 2:55 p.m. |
Created at: March 30, 2026, 5:11 p.m.