Triple
T15845895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adam Brody |
E384211
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Cop Out |
E367219
|
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: Cop Out | Statement: [Adam Brody, appearedIn, Cop Out]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cop Out Context triple: [Adam Brody, appearedIn, Cop Out]
-
A.
Cop Out
chosen
Cop Out is a 2010 buddy-cop comedy film directed by Kevin Smith and starring Bruce Willis and Tracy Morgan as mismatched New York City detectives.
-
B.
Easy Way Out
"Easy Way Out" is a melancholic, atmospheric song by Icelandic-based band Low Roar, known for its introspective lyrics and ethereal production.
-
C.
The Easy Way Out
The Easy Way Out is a comic novel by Stephen McCauley that follows a gay man navigating family obligations, romantic entanglements, and personal indecision with wit and emotional insight.
-
D.
In and Out
"In and Out" is a hard-hitting drill/rap track by Chicago rapper Lud Foe that helped raise his profile in the mid-2010s hip-hop scene.
-
E.
I Want Out
"I Want Out" is a popular power metal anthem by German band Helloween, known for its catchy melodies and themes of personal freedom and rebellion.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14ca636048190bc89cd8b4efa89e9 |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa143dcb48190951648edeae6542d |
completed | May 9, 2026, 9:04 p.m. |
Created at: April 10, 2026, 4:50 a.m.