Triple
T35196696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shannon (TV series) |
E1016280
|
entity |
| Predicate | typicalStoryline |
—
|
GENERATED |
| Object | investigation of suspicious insurance claims |
—
|
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: typicalStoryline Context triple: [Shannon (TV series), typicalStoryline, investigation of suspicious insurance claims]
-
A.
storyline
chosen
Indicates that one entity serves as the narrative plot or sequence of events associated with another entity.
-
B.
storylineTone
Indicates the overall emotional quality or mood conveyed by the storyline in relation to an entity.
-
C.
storylineReason
Indicates that one event, action, or situation occurs as a narrative cause or justification for another within a storyline.
-
D.
genreOfStoryline
Indicates the relationship in which a particular genre characterizes or classifies the storyline of a work.
-
E.
narrativeType
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
- 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_69f76dde814c8190a71f60d514a424a4 |
completed | May 3, 2026, 3:46 p.m. |
Created at: May 3, 2026, 4:02 p.m.