Triple
T16248598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Evan Hunter |
E394438
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Cop Hater
Cop Hater is a 1956 crime novel by Evan Hunter that launched the long-running 87th Precinct police procedural series.
|
E1201843
|
NE FINISHED |
How this triple was built (4 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: [Evan Hunter, notableWork, Cop Hater]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cop Hater Context triple: [Evan Hunter, notableWork, Cop Hater]
-
A.
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."
-
B.
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.
-
C.
Savage Streets
Savage Streets is a 1984 exploitation revenge thriller film starring Linda Blair as a high-school vigilante avenging a brutal attack on her sister.
-
D.
Hoodlum
Hoodlum is a 1997 American crime drama film about the Harlem underworld during the 1930s, focusing on the conflict between Black gangsters and the Italian mob.
-
E.
Devil May Hare
Devil May Hare is a 1954 Warner Bros. Looney Tunes cartoon directed by Robert McKimson, featuring Bugs Bunny in a comedic encounter with the Tasmanian Devil.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Cop Hater Triple: [Evan Hunter, notableWork, Cop Hater]
Generated description
Cop Hater is a 1956 crime novel by Evan Hunter that launched the long-running 87th Precinct police procedural series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cop Hater Target entity description: Cop Hater is a 1956 crime novel by Evan Hunter that launched the long-running 87th Precinct police procedural series.
-
A.
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."
-
B.
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.
-
C.
Savage Streets
Savage Streets is a 1984 exploitation revenge thriller film starring Linda Blair as a high-school vigilante avenging a brutal attack on her sister.
-
D.
Hoodlum
Hoodlum is a 1997 American crime drama film about the Harlem underworld during the 1930s, focusing on the conflict between Black gangsters and the Italian mob.
-
E.
Devil May Hare
Devil May Hare is a 1954 Warner Bros. Looney Tunes cartoon directed by Robert McKimson, featuring Bugs Bunny in a comedic encounter with the Tasmanian Devil.
- F. None of above. chosen
Provenance (5 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_69d87f2171208190951025e526947816 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24594f23c8190bd59fcb2585cb5e3 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ee3bbc48190a56ce2807a9510f0 |
completed | May 10, 2026, 4:51 a.m. |
| NEDg | Description generation | batch_6a000f9aecec819087cecb1edad6b710 |
completed | May 10, 2026, 4:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0010462ba881909666051b2fc38d43 |
completed | May 10, 2026, 4:57 a.m. |
Created at: April 10, 2026, 5:04 a.m.