Triple
T17595068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suburra |
E428547
|
entity |
| Predicate | leadActor |
P1507
|
FINISHED |
| Object | Claudio Amendola |
—
|
NE NERFINISHED |
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: Claudio Amendola | Statement: [Suburra, leadActor, Claudio Amendola]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Claudio Amendola Context triple: [Suburra, leadActor, Claudio Amendola]
-
A.
Claudio Amendola
chosen
Claudio Amendola is an Italian actor and director known for his work in film and television, including prominent roles in Italian dramas and comedies.
-
B.
Fabrizio Gifuni
Fabrizio Gifuni is an Italian actor known for his intense, character-driven performances in film, television, and theater.
-
C.
Giancarlo Peris
Giancarlo Peris is an Italian former athlete best known for lighting the Olympic cauldron at the opening ceremony of the 1960 Rome Summer Games.
-
D.
Enzo Barboni
Enzo Barboni was an Italian film director and screenwriter best known for his popular spaghetti western comedies, particularly those starring Terence Hill and Bud Spencer.
-
E.
Riccardo Scamarcio
Riccardo Scamarcio is an Italian actor and film producer known for his roles in both Italian cinema and international films such as "John Wick: Chapter 2."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e469ead59c8190a06519311891af3c |
completed | April 19, 2026, 5:36 a.m. |
Created at: April 10, 2026, 5:51 a.m.