Triple
T24928933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DNxHD |
E618934
|
entity |
| Predicate | colorSampling |
P99569
|
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: [DNxHD, colorSampling, 4:2:2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: colorSampling Context triple: [DNxHD, colorSampling, 4:2:2]
-
A.
supportsColorSampling
Indicates that one entity can perform or accommodate color sampling operations on another entity or its data.
-
B.
commonlyUsedColorSubsampling
Indicates that a particular color subsampling scheme is frequently or typically used in practice.
-
C.
chromaSubsamplingOptions
chosen
Indicates how color information is reduced or sampled relative to luminance in an image or video signal.
-
D.
colorImaging
Indicates a relationship where an entity captures, processes, or represents visual information specifically in terms of color.
-
E.
coversColorSpace
Indicates that one entity’s color representation range fully includes or spans the color space defined by another 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_69e2fab9edd88190b86004a78a28bc20 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f464b4c9b0819085daa00c7c3b8b76 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f45cf017a88190b4985b11159c907d |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 5:29 a.m.