Triple
T33802513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Hornby bibliography |
E866265
|
entity |
| Predicate | includesScreenplay |
—
|
GENERATED |
| Object | An Education |
—
|
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: includesScreenplay Context triple: [Nick Hornby bibliography, includesScreenplay, An Education]
-
A.
screenplayRecord
Indicates that there exists a record or documentation associated with a particular screenplay, capturing information about its creation, version, or related details.
-
B.
screenplayWrittenIn
Indicates that a screenplay was written in a particular language, medium, or format.
-
C.
screenplayFeature
Indicates that one entity is a screenplay that serves as the primary feature or main written work associated with another entity, such as a film or production.
-
D.
screenplayType
Indicates the specific category or format of a screenplay associated with a work or production.
-
E.
screenplayWrittenFor
Indicates that a screenplay was written specifically for a particular film, show, or production.
- 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_69f3499057fc81909d862b1309a3bd71 |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:46 a.m.