Triple
T7905505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jim Carrey as Ghost of Christmas Past |
E183564
|
entity |
| Predicate | animationTechniqueOfWork |
P3047
|
FINISHED |
| Object | performance capture |
—
|
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: performance capture | Statement: [Jim Carrey as Ghost of Christmas Past, animationTechniqueOfWork, performance capture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: animationTechniqueOfWork Context triple: [Jim Carrey as Ghost of Christmas Past, animationTechniqueOfWork, performance capture]
-
A.
artisticTechnique
Indicates the method, style, or process used to create or execute an artistic work.
-
B.
animationStudio
Indicates that one entity is an animation studio responsible for creating, producing, or animating the other entity.
-
C.
usesComputerAnimationFor
Indicates that something employs computer-generated animation techniques to create or enhance its visual content or effects.
-
D.
artisticFunction
Indicates that one entity serves a creative, expressive, or aesthetic role or purpose in relation to another entity.
-
E.
hasTechnique
chosen
Indicates that an entity employs, utilizes, or is associated with a particular method, procedure, or technique.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a56c9f0819094dc87fe55a8823e |
completed | March 31, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69cae92f9498819085277879e59aa072 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:03 p.m.