Triple
T13556879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HDR10 |
E323797
|
entity |
| Predicate | electroOpticalTransferFunction |
P65219
|
FINISHED |
| Object | PQ (Perceptual Quantizer) |
—
|
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: PQ (Perceptual Quantizer) | Statement: [HDR10, electroOpticalTransferFunction, PQ (Perceptual Quantizer)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electroOpticalTransferFunction Context triple: [HDR10, electroOpticalTransferFunction, PQ (Perceptual Quantizer)]
-
A.
opticalProperty
Indicates a relationship where an entity has or is characterized by a specific optical property, such as how it interacts with or responds to light.
-
B.
colorImaging
Indicates a relationship where an entity captures, processes, or represents visual information specifically in terms of color.
-
C.
assumedDisplayGamma
Indicates that a specific gamma value is presumed to characterize the display’s tone response or brightness mapping behavior.
-
D.
transferFunction
chosen
Indicates a relationship where some quantity, property, or information is passed or conveyed from one entity to another.
-
E.
relativeLuminance
Indicates the measured brightness of one entity relative to a reference or to other entities in the same context.
- 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_69d8076830b48190910a902bae5888e2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae13bec4819084c1770638c00ed9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:47 p.m.