Triple
T33210692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rick Dockery |
E850148
|
entity |
| Predicate | primaryThemeOfStory |
—
|
GENERATED |
| Object | second chances |
—
|
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: primaryThemeOfStory Context triple: [Rick Dockery, primaryThemeOfStory, second chances]
-
A.
primaryStoryThemes
chosen
Indicates the main recurring ideas or motifs that characterize and unify a story’s narrative.
-
B.
mainSettingOfStory
Indicates that a location or environment serves as the primary setting in which the events of a story take place.
-
C.
primaryThemeOrigin
Indicates that the primary thematic content of something (e.g., a work or discourse) originates from or is derived from a particular source or context.
-
D.
primaryMotif
Indicates that one entity serves as the main recurring theme or dominant motif associated with another entity.
-
E.
primaryTone
Indicates the main or dominant emotional or stylistic quality characterizing something, in contrast to any secondary or supporting tones.
- 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_69f3495fb92c819083ce65d0ddee7a76 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:30 a.m.