Triple
T20663726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed McBain |
E507826
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Cop Hater |
—
|
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: Cop Hater | Statement: [Ed McBain, notableWork, Cop Hater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cop Hater Context triple: [Ed McBain, notableWork, Cop Hater]
-
A.
Cop Hater
chosen
Cop Hater is a 1956 crime novel by Evan Hunter that launched the long-running 87th Precinct police procedural series.
-
B.
Intelligent Hoodlum
Intelligent Hoodlum is the early stage name of Tragedy Khadafi, a Queensbridge rapper known for his influential role in the development of East Coast hip hop.
-
C.
In the Hood
"In the Hood" is a gritty hip-hop track by Wu-Tang Clan that reflects street life themes and appears on their album "Iron Flag."
-
D.
Cop Killer
"Cop Killer" is a controversial 1992 song by the American heavy metal band Body Count, fronted by rapper Ice-T, that sparked widespread public and political debate over its violent anti-police lyrics.
-
E.
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.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2f4872481908858eb88ce89dd47 |
completed | April 20, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:44 a.m.