Triple
T22283601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giuliano Gemma |
E550801
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Arizona Colt |
—
|
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: Arizona Colt | Statement: [Giuliano Gemma, appearedIn, Arizona Colt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arizona Colt Context triple: [Giuliano Gemma, appearedIn, Arizona Colt]
-
A.
Arizona Colt
chosen
Arizona Colt is a 1966 Italian Spaghetti Western film starring Giuliano Gemma as a skilled gunslinger navigating betrayal and revenge in the American frontier.
-
B.
Arizona Cardinals
The Arizona Cardinals are a professional American football team based in the Phoenix metropolitan area that competes in the NFL’s NFC West division.
-
C.
Broncos
Broncos is the commonly used short name for the Brisbane Broncos, a professional rugby league club based in Brisbane, Australia.
-
D.
Broncos
The Broncos are the athletic teams representing Boise State University, best known for their successful football program and iconic blue turf field.
-
E.
Broncos
The Broncos are the athletic teams representing Fayetteville State University in collegiate sports competitions.
- 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_69e11e44d538819097c6b8f333af3352 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15605a8448190906a0ab9ffa4260b |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 16, 2026, 8:40 p.m.