Triple
T30949432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony α7R V |
E788493
|
entity |
| Predicate | videoFeatures |
P177352
|
FINISHED |
| Object | 10-bit 4:2:2 internal recording |
—
|
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: 10-bit 4:2:2 internal recording | Statement: [Sony α7R V, videoFeatures, 10-bit 4:2:2 internal recording]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoFeatures Context triple: [Sony α7R V, videoFeatures, 10-bit 4:2:2 internal recording]
-
A.
featuresModelInVideo
Indicates that a video includes or showcases a particular model as part of its visual content.
-
B.
videoType
Indicates the classification or category of a video (such as format, genre, or purpose) associated with an entity.
-
C.
musicVideoFeatures
Indicates that a music video includes or prominently showcases a particular person, group, or element.
-
D.
associatedVideoImagery
Indicates a relationship where specific video imagery is linked or connected to another entity (such as an event, object, or record) as related visual content.
-
E.
isVideoOf
Indicates that one entity is a video recording or representation depicting, documenting, or illustrating the other entity.
- 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_69f224c180f88190ad177372ee02b7e2 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6fb93224881908fc66fe76115fcdb |
completed | May 3, 2026, 7:38 a.m. |
| PD | Predicate disambiguation | batch_69f6f969b4cc8190afb473a2d8b110bc |
completed | May 3, 2026, 7:29 a.m. |
| PDg | Predicate description generation | batch_69f6fb17d5ec81909091e37e1ddbe577 |
completed | May 3, 2026, 7:36 a.m. |
Created at: April 29, 2026, 8:53 p.m.