Triple
T10650714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stella Bridger |
E250959
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Steve Frazelli |
E270170
|
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: Steve Frazelli | Statement: [Stella Bridger, enemyOf, Steve Frazelli]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Frazelli Context triple: [Stella Bridger, enemyOf, Steve Frazelli]
-
A.
Steve Frazelli
chosen
Steve Frazelli is the primary antagonist in the 2003 heist film "The Italian Job," a duplicitous thief who betrays his crew to steal their gold.
-
B.
Mike Gaffey
Mike Gaffey is a songwriter best known for co-writing the track "RITMO (Bad Boys for Life)."
-
C.
Mike Dailey
Mike Dailey is an American arena football coach best known for leading the Albany Firebirds and later the Colorado Crush to success in the Arena Football League.
-
D.
Phil DeGuere
Phil DeGuere was an American television producer, writer, and director best known for his work on series such as Simon & Simon and the 1980s revival of The Twilight Zone.
-
E.
Mike Rodden
Mike Rodden is a musician best known as a member of the American rock band Hinder.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfe4b97081908815b77612222318 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e712b2ff1081908ccf311e1133ab72 |
completed | April 21, 2026, 6:01 a.m. |
Created at: April 8, 2026, 9:06 p.m.