Triple
T3276768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beverly Hills Cop III |
E68775
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Axel Foley |
E69624
|
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: Axel Foley | Statement: [Beverly Hills Cop III, character, Axel Foley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Axel Foley Context triple: [Beverly Hills Cop III, character, Axel Foley]
-
A.
Axel Foley
chosen
Axel Foley is the wisecracking, street-smart Detroit detective and main protagonist of the "Beverly Hills Cop" film series.
-
B.
Jack R. Gage
Jack R. Gage was an American politician who served as the 25th governor of Wyoming in the early 1960s.
-
C.
Miles Goodman
Miles Goodman was an American composer and jazz record producer best known for his film scores, particularly for popular comedies of the 1980s and early 1990s.
-
D.
David Puddy
David Puddy is a deadpan, dim-witted auto mechanic and Elaine Benes’s on-again, off-again boyfriend on the sitcom "Seinfeld," known for his monotone delivery and quirky obsessions.
-
E.
Alec Hardison
Alec Hardison is a brilliant, pop-culture-savvy hacker and tech expert who handles all things digital and logistical for the Leverage crew.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0128f08819084644f3c8fda2596 |
completed | March 8, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2e84a3c2c8190908152fc042fcad1 |
completed | March 12, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:10 p.m.