Triple
T4528083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Destino (Disney–Dalí short film) |
E106228
|
entity |
| Predicate | animationTechniques |
P51617
|
FINISHED |
| Object | traditional 2D animation |
—
|
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: traditional 2D animation | Statement: [Destino (Disney–Dalí short film), animationTechniques, traditional 2D animation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animationTechniques Context triple: [Destino (Disney–Dalí short film), animationTechniques, traditional 2D animation]
-
A.
animationStudio
Indicates that one entity is an animation studio responsible for creating, producing, or animating the other entity.
-
B.
artisticTechnique
Indicates the method, style, or process used to create or execute an artistic work.
-
C.
usesComputerAnimationFor
Indicates that something employs computer-generated animation techniques to create or enhance its visual content or effects.
-
D.
hasTechnique
Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
-
E.
featuresTechnique
chosen
Indicates that something incorporates or makes use of a particular technique as part of its content or execution.
- F. None of above.
Provenance (3 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd577737848190ad509c8bb8e57ec0 |
completed | March 20, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69bd521cf77c819083852de3094d1377 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:03 p.m.