Triple
T5763484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio Vivaldi |
E127151
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Il Prete Rosso |
E127151
|
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: Il Prete Rosso | Statement: [Antonio Vivaldi, hasNickname, Il Prete Rosso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Il Prete Rosso Context triple: [Antonio Vivaldi, hasNickname, Il Prete Rosso]
-
A.
Il Prete Rosso
chosen
Il Prete Rosso is the famous nickname of Baroque composer and violinist Antonio Vivaldi, referencing both his red hair and his status as a Catholic priest.
-
B.
Camicie Nere
Camicie Nere were the paramilitary Blackshirt squads that served as the violent enforcement arm of the Italian Fascist movement under Benito Mussolini.
-
C.
Il Diavolo
Il Diavolo is a famous nickname for Italian football club AC Milan, reflecting its red-and-black colors and fiery, intimidating playing spirit.
-
D.
Mr. Orange
Mr. Orange is an undercover police officer posing as a criminal in Quentin Tarantino's crime film "Reservoir Dogs."
-
E.
La prima linea
La prima linea is an Italian crime drama film depicting the story of a far-left terrorist group active in Italy during the 1970s.
- 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_69c00833a3fc81908f4bc29ed011b7a6 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0296e12d48190bd120879723bb6e8 |
completed | March 22, 2026, 5:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e59c2d0819091101dea300e1d7e |
completed | March 22, 2026, 11:42 p.m. |
Created at: March 22, 2026, 3:49 p.m.