Triple
T37480201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UHDTV1 |
E931391
|
entity |
| Predicate | primaryDifferenceFromHDTV |
P205922
|
FINISHED |
| Object | increased spatial resolution and wider color gamut |
—
|
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: increased spatial resolution and wider color gamut | Statement: [UHDTV1, primaryDifferenceFromHDTV, increased spatial resolution and wider color gamut]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryDifferenceFromHDTV Context triple: [UHDTV1, primaryDifferenceFromHDTV, increased spatial resolution and wider color gamut]
-
A.
differenceFrom HDR10
Indicates that one entity differs from HDR10 in some specified aspect, property, or implementation detail.
-
B.
televisionFormat
Indicates the specific type or style of television program or production format associated with an entity.
-
C.
advantageOverCRT
Indicates that one entity possesses a benefit, superiority, or favorable quality when compared to CRT.
-
D.
hasBetterColorReproductionThan
Indicates that one entity produces more accurate or higher-quality color representation than another entity.
-
E.
televisionAspect
Indicates the aspect ratio or format characteristics of a television display in relation to its width and height proportions.
- 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:17 p.m.