Triple
T2448119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ProRes |
E53639
|
entity |
| Predicate | supportsColorSampling |
P39917
|
FINISHED |
| Object | 4:2:2 |
—
|
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: 4:2:2 | Statement: [ProRes, supportsColorSampling, 4:2:2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsColorSampling Context triple: [ProRes, supportsColorSampling, 4:2:2]
-
A.
supportsWideColorGamut
Indicates that one entity provides or enables compatibility with a wide color gamut capability for another entity or context.
-
B.
hasFilmColorType
Indicates that a film is associated with a particular color process or color classification (e.g., color, black-and-white).
-
C.
supportsInterlacedCompositeArtifacts
Indicates that one entity provides compatibility with or functionality for handling interlaced composite artifacts associated with another entity.
-
D.
hasColorOption
Indicates that an entity offers or supports a particular color as one of its selectable options.
-
E.
hasRGB
Indicates that an entity possesses or is associated with a specific RGB (red, green, blue) color value.
- 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_69ab495d227c8190b26ae6548eeb1019 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd2bc7b5481908b3664495e99f1a4 |
completed | March 7, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69abd0aed2688190a18fe66b98d80e0b |
completed | March 7, 2026, 7:15 a.m. |
| PDg | Predicate description generation | batch_69abd2baee308190bdaa41ef1f6bc9cc |
completed | March 7, 2026, 7:24 a.m. |
Created at: March 6, 2026, 9:43 p.m.