Triple
T34371742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 10 to Midnight |
E882173
|
entity |
| Predicate | featuresKillerType |
—
|
GENERATED |
| Object | serial killer |
—
|
UNRECOGNIZED GENERATED |
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresKillerType Context triple: [10 to Midnight, featuresKillerType, serial killer]
-
A.
featuresAssassins
Indicates that the subject includes, portrays, or prominently involves assassins as part of its content or composition.
-
B.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
C.
featuresSuit
Indicates that one entity includes or presents a particular suit (e.g., clothing, armor, or outfit) as a notable component or attribute.
-
D.
featuresRiseOf
Indicates that something includes or portrays the emergence or increasing prominence of someone or something.
-
E.
featuresDemon
Indicates that an entity includes, depicts, or prominently involves a demon.
- F. None of above. chosen
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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:59 a.m.