Triple
T29911490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SCNTransaction |
E759683
|
entity |
| Predicate | animationModel |
P168246
|
FINISHED |
| Object | implicit animation model |
—
|
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: implicit animation model | Statement: [SCNTransaction, animationModel, implicit animation model]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animationModel Context triple: [SCNTransaction, animationModel, implicit animation model]
-
A.
animationTechnology
Indicates a relationship where one entity uses, is created with, or is characterized by a particular animation technology.
-
B.
animationStudio
Indicates that one entity is an animation studio responsible for creating, producing, or animating the other entity.
-
C.
animatedCharacter
Indicates that an entity is a fictional character depicted through animation rather than live action.
-
D.
animator
Indicates that one entity serves as the animator or creator of animated content for another entity or work.
-
E.
drawingModel
Indicates that one entity serves as a drawing or visual representation model used to depict, design, or illustrate another entity.
- 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_69f224600590819085e148a01c056ef6 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6775ac1ac8190a8efe5439cc1e52d |
completed | May 2, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69f66ec8298c8190b41fe9d182c05676 |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 29, 2026, 6:10 p.m.