Triple
T1429599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adobe Illustrator |
E30413
|
entity |
| Predicate | supportsColorModel |
P19966
|
FINISHED |
| Object | RGB |
—
|
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: RGB | Statement: [Adobe Illustrator, supportsColorModel, RGB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsColorModel Context triple: [Adobe Illustrator, supportsColorModel, RGB]
-
A.
hasColorOption
Indicates that an entity offers or supports a particular color as one of its selectable options.
-
B.
supportsModelType
chosen
Indicates that an entity is compatible with, or can operate using, a specified model type.
-
C.
hasColorProcess
Indicates a relationship where an entity is associated with a specific method or process used to apply, change, or manage its color.
-
D.
supportColor
Indicates that an entity is compatible with, or can be rendered or displayed using, a specified color.
-
E.
hasFilmColorType
Indicates that a film is associated with a particular color process or color classification (e.g., color, black-and-white).
- 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c500a9888190a16fbb1ec97a79c9 |
completed | March 1, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69a4c4771c9481908ae47c959debbe77 |
completed | March 1, 2026, 10:57 p.m. |
Created at: March 1, 2026, 8 p.m.