Triple
T38641025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone SE (2nd generation) |
E938594
|
entity |
| Predicate | wideColorDisplay |
P31543
|
FINISHED |
| Object | P3 wide 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: P3 wide color gamut | Statement: [iPhone SE (2nd generation), wideColorDisplay, P3 wide color gamut]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wideColorDisplay Context triple: [iPhone SE (2nd generation), wideColorDisplay, P3 wide color gamut]
-
A.
colorDisplay
Indicates that one entity presents, shows, or renders the color associated with another entity.
-
B.
supportsWideColorGamut
chosen
Indicates that one entity provides or enables compatibility with a wide color gamut capability for another entity or context.
-
C.
colorVision
Indicates that an entity possesses the ability to perceive and distinguish colors visually.
-
D.
hasBetterColorReproductionThan
Indicates that one entity produces more accurate or higher-quality color representation than another entity.
-
E.
displays
Indicates that one entity visually presents or shows another entity’s content or information.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.