Triple
T29562221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Behr series |
E750067
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | hard-boiled detective fiction series |
C6645
|
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: hard-boiled detective fiction series Context triple: [Frank Behr series, instanceOf, hard-boiled detective fiction series]
-
A.
detective fiction series
chosen
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.
-
B.
hardboiled fiction
Hardboiled fiction is a gritty, unsentimental crime narrative style featuring tough, cynical protagonists navigating corrupt urban worlds with terse, hard-edged prose.
-
C.
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.
-
D.
crime fiction novel
A crime fiction novel is a narrative work centered on the investigation, commission, or consequences of a crime, typically involving suspense, mystery, and the pursuit of justice.
-
E.
crime film series
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.
- 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_69f0bd4919e48190942b2a13d5b97d03 |
completed | April 28, 2026, 1:59 p.m. |
Created at: April 28, 2026, 5:20 p.m.