Triple
T3536506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wyldstyle |
E74784
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Bad Cop |
E74788
|
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: Bad Cop | Statement: [Wyldstyle, enemy, Bad Cop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bad Cop Context triple: [Wyldstyle, enemy, Bad Cop]
-
A.
Bad Cop
chosen
Bad Cop is a central antagonist-turned-ally in *The Lego Movie*, depicted as a conflicted Lego police officer with a split good cop/bad cop personality.
-
B.
Bon Cop, Bad Cop
Bon Cop, Bad Cop is a bilingual Canadian action-comedy film that pairs an Ontario and a Quebec police officer who must overcome cultural differences to solve a cross-border crime.
-
C.
Cops
Cops is a long-running American reality television series that follows police officers on duty as they respond to real-life incidents and arrests.
-
D.
Oddjob
Oddjob is the iconic, silent henchman from the James Bond film "Goldfinger," known for his deadly steel-rimmed bowler hat and formidable physical strength.
-
E.
Beverly Hills Cop II
Beverly Hills Cop II is a 1987 action-comedy film and the sequel to Beverly Hills Cop, following Detroit detective Axel Foley as he returns to Beverly Hills to help solve a series of violent crimes.
- 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbcc7b92481908d2d99948780f4d0 |
completed | March 8, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bd237e881909df210a42346b572 |
completed | March 13, 2026, 4 a.m. |
Created at: March 8, 2026, 3:20 p.m.