Triple
T32041098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Up franchise |
E818220
|
entity |
| Predicate | includesShortFilm |
—
|
GENERATED |
| Object | George & A.J. |
—
|
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: includesShortFilm Context triple: [Up franchise, includesShortFilm, George & A.J.]
-
A.
hasShortFilmLength
Indicates that an entity has a duration characteristic of a short film, typically below a standard feature-length runtime.
-
B.
hasShortFilmAttachedInTheaters
Indicates that a film is accompanied by a specific short film when shown in theaters.
-
C.
shortFilmComponent
Indicates that one entity is a component, segment, or part of a short film represented by the other entity.
-
D.
hasCinematicShort
chosen
Indicates that an entity is associated with or includes a cinematic short film or short-form cinematic content.
-
E.
featuredInShortFilm
Indicates that an entity appears or plays a role in a short film.
- 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_69f348fcfb648190859f6be5e04b7cfe |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:19 a.m.