Triple
T15115126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agenore Incrocci |
E361015
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | duo Age & Scarpelli |
E1129980
|
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: duo Age & Scarpelli | Statement: [Agenore Incrocci, partOf, duo Age & Scarpelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: duo Age & Scarpelli Context triple: [Agenore Incrocci, partOf, duo Age & Scarpelli]
-
A.
Scarpelli
chosen
Scarpelli is an Italian surname associated with notable figures in cinema, particularly screenwriter Furio Scarpelli.
-
B.
Paoletti
Paoletti is an Italian surname, likely related etymologically or familiarly to the name Paolone.
-
C.
Spinelli
Spinelli is an Italian surname most notably associated with Altiero Spinelli, a key architect of European integration and federalism.
-
D.
DeSapio
DeSapio is an Italian-origin surname most notably associated with Carmine DeSapio, a prominent mid-20th-century New York political leader and Tammany Hall boss.
-
E.
Cruppi
Cruppi is a French surname most notably associated with Jean Cruppi, a prominent early 20th-century French politician and statesman.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058f4fb88190a3d446a466aebcf1 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7eee6e8819092657c4006456135 |
completed | May 9, 2026, 4:28 a.m. |
Created at: April 10, 2026, 3:05 a.m.