Triple
T16486422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Blodgett |
E400453
|
entity |
| Predicate | wrote |
P2831
|
FINISHED |
| Object | Rent-a-Cop |
E1216129
|
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: Rent-a-Cop | Statement: [Michael Blodgett, wrote, Rent-a-Cop]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rent-a-Cop Context triple: [Michael Blodgett, wrote, Rent-a-Cop]
-
A.
Rent-a-Cop
chosen
Rent-a-Cop is a 1987 American action-comedy film starring Burt Reynolds as a disgraced cop turned security guard who teams up with a call girl, played by Liza Minnelli, to take down a killer.
-
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.
Supercop
Supercop is a 1992 Hong Kong action film in the Police Story series, best known internationally for its high-octane stunts and for starring Jackie Chan alongside Michelle Yeoh.
-
D.
Bad Cop
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.
-
E.
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.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e068fac8190a0971f548848fcfe |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00607aafa48190929250a879c602ca |
completed | May 10, 2026, 10:39 a.m. |
Created at: April 10, 2026, 5:13 a.m.