Triple
T12082894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alfio Caltabiano |
E287724
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Sabata |
E888946
|
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: Sabata | Statement: [Alfio Caltabiano, notableWork, Sabata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabata Context triple: [Alfio Caltabiano, notableWork, Sabata]
-
A.
Sabata
chosen
Sabata is a 1969 Italian Spaghetti Western film starring Lee Van Cleef as a deadly, enigmatic gunslinger drawn into a web of greed and betrayal.
-
B.
Servando
Servando is a masculine given name of Spanish origin commonly used in Spanish-speaking countries.
-
C.
Giorgino
Giorgino is an Italian diminutive form of the given name Giorgio, typically used as an affectionate or familiar nickname.
-
D.
Quarazza
Quarazza is a small hamlet in northern Italy associated with the alpine municipality of Macugnaga in the Piedmont region.
-
E.
Montardo
Montardo is a prominent mountain peak in the central Pyrenees, known for its panoramic views over the Val d’Aran in Catalonia, Spain.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915124e4c8190b0264c2a09e3c2f3 |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f66509208190b7206e78df41c2fe |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:48 p.m.