Triple
T33818353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galahad (Kingsman codename) |
E866754
|
entity |
| Predicate | firstHolderInFilms |
—
|
GENERATED |
| Object | Harry Hart |
—
|
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: firstHolderInFilms Context triple: [Galahad (Kingsman codename), firstHolderInFilms, Harry Hart]
-
A.
leadActorDebutFilmFor
Indicates that a person’s first film as a lead actor is the specified movie.
-
B.
firstUsedInFeatureFilm
Indicates that something (such as a technique, character, or element) made its earliest appearance or application in a particular feature film.
-
C.
featureFilmDebut
Indicates that a work marks an entity’s first appearance or role in a feature-length film.
-
D.
filmDebutIn
Indicates the first film in which a person appeared or participated, marking their debut in cinema.
-
E.
filmDebutFor
Indicates that a particular work marks the first film appearance or role of a given person.
- 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_69f349911a8c81908478662194b23d8c |
completed | April 30, 2026, 12:22 p.m. |
Created at: May 1, 2026, 1:46 a.m.