Triple
T37129602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sherman |
E919480
|
entity |
| Predicate | featureFilmTitle |
—
|
GENERATED |
| Object | Mr. Peabody & Sherman |
—
|
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: featureFilmTitle Context triple: [Sherman, featureFilmTitle, Mr. Peabody & Sherman]
-
A.
film6Title
Indicates the title assigned to the sixth film in a sequence or collection.
-
B.
film4Title
Indicates that the specified title is the fourth film title associated with the given entity or within a particular ordered sequence of films.
-
C.
sourceFilmTitle
chosen
Indicates the title of the film from which a referenced work, element, or derivative content originates.
-
D.
filmProject
Indicates a relationship where an entity is involved in or associated with a specific film production project.
-
E.
featureFilmComponent
Indicates that one entity is a component or part (such as a segment, reel, or related element) of a feature 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:15 p.m.