Triple
T12627212
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | iPhone 14 |
E301545
|
entity |
| Predicate | videoFeature |
P103631
|
FINISHED |
| Object | Cinematic mode |
—
|
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: Cinematic mode | Statement: [iPhone 14, videoFeature, Cinematic mode]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoFeature Context triple: [iPhone 14, videoFeature, Cinematic mode]
-
A.
featuresModelInVideo
Indicates that a video includes or showcases a particular model as part of its visual content.
-
B.
videoStyle
chosen
Indicates the stylistic characteristics or presentation format applied to a video (such as tone, visual approach, or editing style).
-
C.
musicVideoFeatures
Indicates that a music video includes or prominently showcases a particular person, group, or element.
-
D.
videoPlatform
Indicates a relationship where an entity serves as or is associated with a platform used for hosting, sharing, or streaming video content.
-
E.
videoOutput
Indicates that one entity produces or provides video signals or content as output to another entity or medium.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9617b07ec8190b714f04ae6654060 |
completed | April 10, 2026, 8:45 p.m. |
| PD | Predicate disambiguation | batch_69d960b195108190ac25bd95e644ace4 |
completed | April 10, 2026, 8:42 p.m. |
Created at: April 9, 2026, 5:14 p.m.