Triple
T8551846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Denise |
E202461
|
entity |
| Predicate | graphicsFunction |
P17160
|
FINISHED |
| Object | video display generation |
—
|
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: video display generation | Statement: [Super Denise, graphicsFunction, video display generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: graphicsFunction Context triple: [Super Denise, graphicsFunction, video display generation]
-
A.
graphics
chosen
Indicates a relationship where one entity is responsible for creating, providing, or handling visual representations or graphical content for another entity or context.
-
B.
artisticFunction
Indicates that one entity serves a creative, expressive, or aesthetic role or purpose in relation to another entity.
-
C.
graphicsType
Indicates the type or category of graphics associated with or used by an entity.
-
D.
graphicsAPI
Indicates a relationship where one entity uses, supports, or is implemented with a particular graphics application programming interface (graphicsAPI).
-
E.
geometricFunction
Indicates a relationship where one entity serves as a geometric transformation or operation that, when applied, produces or modifies another geometric entity.
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe886fb788190a73e7c76c4f86409 |
completed | March 31, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69cbd113e05c81908f4f3fc1b5925164 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:19 p.m.