Triple
T22474243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luke Greenfield |
E555584
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Let’s Be Cops |
—
|
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: Let’s Be Cops | Statement: [Luke Greenfield, notableWork, Let’s Be Cops]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Let’s Be Cops Context triple: [Luke Greenfield, notableWork, Let’s Be Cops]
-
A.
Let’s Be Cops
chosen
Let’s Be Cops is a 2014 buddy cop comedy film about two friends who impersonate police officers, starring Damon Wayans Jr. and Jake Johnson.
-
B.
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.
-
C.
Wrong Cops
Wrong Cops is a dark comedy film by Quentin Dupieux that follows a group of corrupt, absurdly inept police officers engaging in bizarre and unethical antics.
-
D.
COPS
COPS is the abbreviation for the European Union’s Political and Security Committee, a key body responsible for shaping and overseeing the EU’s Common Foreign and Security Policy and crisis management operations.
-
E.
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.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be2d5388190a59d11b3403d998b |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:49 p.m.