Triple
T38571669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 14 Plus |
E929291
|
entity |
| Predicate | supportsCinematicMode4K |
—
|
GENERATED |
| Object | true |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsCinematicMode4K Context triple: [iPhone 14 Plus, supportsCinematicMode4K, true]
-
A.
supportsCinematicMode
chosen
Indicates that one entity provides or enables a cinematic mode feature for another entity.
-
B.
supports4KVideoRecording
Indicates that the subject is capable of recording video at 4K (Ultra HD) resolution.
-
C.
hasCinematicFeature
Indicates that something possesses a specific cinematic characteristic, quality, or element related to film or visual storytelling.
-
D.
supportsDolbyVisionHDRRecording
Indicates that the subject is capable of recording video content using the Dolby Vision high dynamic range (HDR) format.
-
E.
supportsProResVideo
Indicates that one entity provides the capability for another entity to record, process, or handle video in the ProRes format.
- F. None of above.
Provenance (1 batch)
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_69f76ebd2248819083978362d81fa35e |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:32 p.m.