Triple
T30811319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fujifilm X-H2S |
E784651
|
entity |
| Predicate | videoCodecSupport |
P102951
|
FINISHED |
| Object | Apple ProRes 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: Apple ProRes internal recording | Statement: [Fujifilm X-H2S, videoCodecSupport, Apple ProRes internal recording]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: videoCodecSupport Context triple: [Fujifilm X-H2S, videoCodecSupport, Apple ProRes internal recording]
-
A.
supportsHEVC
Indicates that one entity provides compatibility with or the ability to handle HEVC (High Efficiency Video Coding) for another entity.
-
B.
supportsH264
Indicates that one entity provides compatibility with, or the ability to encode/decode or process, H.264 video for another entity.
-
C.
supportsHEVCEncode
Indicates that one entity provides the capability for another entity to perform HEVC (High Efficiency Video Coding) encoding.
-
D.
supportsVideoPlayback
Indicates that an entity is capable of playing or rendering video content.
-
E.
supportsProResEncodeDecode
chosen
Indicates that an entity provides the capability to both encode and decode media using the Apple ProRes format.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 29, 2026, 8:43 p.m.