Triple
T15193812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinatown film series |
E363093
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | neo-noir crime film series |
C27967
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: neo-noir crime film series Context triple: [Chinatown film series, instanceOf, neo-noir crime film series]
-
A.
crime film series
chosen
A crime film series is a collection of movies connected by recurring characters, settings, or themes that focus on criminal activities, investigations, and the moral or legal consequences surrounding them.
-
B.
mystery film series
A mystery film series is a sequence of interconnected movies that revolve around solving crimes, uncovering secrets, or resolving enigmatic events, often featuring recurring detectives, investigators, or protagonists.
-
C.
crime thriller television series
A crime thriller television series is a suspense-driven show that follows investigations into serious offenses, often featuring complex characters, high-stakes mysteries, and tense, twist-filled storytelling.
-
D.
detective fiction series
A detective fiction series is a collection of interconnected stories or novels that follow one or more investigators as they solve mysteries or crimes, often featuring recurring characters, settings, and thematic elements.
-
E.
Sin City story
A Sin City story is a gritty, neo-noir crime tale set in the corrupt, hyper-stylized Basin City, following morally ambiguous characters through violent, intertwined narratives of revenge, betrayal, and doomed redemption.
- F. None of above.
Provenance (1 batch)
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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
Created at: April 10, 2026, 3:10 a.m.