Triple
T17625184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buena Vista Pictures |
E429821
|
entity |
| Predicate | roleInDisney |
P128322
|
FINISHED |
| Object | primary theatrical distributor for Disney-branded films for many years |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
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.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: primary theatrical distributor for Disney-branded films for many years | Statement: [Buena Vista Pictures, roleInDisney, primary theatrical distributor for Disney-branded films for many years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInDisney Context triple: [Buena Vista Pictures, roleInDisney, primary theatrical distributor for Disney-branded films for many years]
-
A.
roleInTangled
Indicates that an entity has a specific role or function within the context of "Tangled" (e.g., the film, story, or related production).
-
B.
roleInShrekForeverAfter
Indicates that an entity has a specific acting or production role in the movie "Shrek Forever After."
-
C.
roleInMonstersInc
Indicates the specific function, position, or part an entity has within the context of the movie “Monsters, Inc.”
-
D.
roleInToyStory2
Indicates that an entity has a specific acting or character role in the movie "Toy Story 2."
-
E.
roleInMulan
Indicates that one entity has a specific role or part in the context of "Mulan" (such as the film, story, or production).
- F. None of above. chosen
Provenance (4 batches)
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_69d889e37f308190a6aa0a69daff86c7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46dbc62e88190b9757dc7c52d7fee |
completed | April 19, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69e3cdd7da34819099bc9481c5a79bab |
completed | April 18, 2026, 6:30 p.m. |
| PDg | Predicate description generation | batch_69e3cfaac2b881909e1140339eb1a0dd |
completed | April 18, 2026, 6:38 p.m. |
Created at: April 10, 2026, 5:52 a.m.