Triple
T34368084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kentuckian |
E882073
|
entity |
| Predicate | featuresDebutFilmRoleOf |
—
|
GENERATED |
| Object | Walter Matthau |
—
|
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: featuresDebutFilmRoleOf Context triple: [The Kentuckian, featuresDebutFilmRoleOf, Walter Matthau]
-
A.
featureFilmDebut
chosen
Indicates that a work marks an entity’s first appearance or role in a feature-length film.
-
B.
filmCharacterOf
Indicates that a person or character is a character appearing in a specified film.
-
C.
filmLeadCharacter
Indicates that a person or character serves as the primary or central protagonist in a film.
-
D.
featureDirectorialDebutOf
Indicates that a work (typically a film) serves as the first directorial effort of a particular director.
-
E.
screenDebutInMajorRoleFor
Indicates that one entity made their first significant on-screen appearance (major role) in a particular production or work.
- 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_69f349be5c9c81908dc726ae1f4c68f2 |
completed | April 30, 2026, 12:23 p.m. |
Created at: May 1, 2026, 1:58 a.m.