Triple
T31498085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XAVC HS |
E803602
|
entity |
| Predicate | supportsGammaCurve |
P171705
|
FINISHED |
| Object | S-Log3 |
E1923529
|
NE 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: S-Log3 | Statement: [XAVC HS, supportsGammaCurve, S-Log3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsGammaCurve Context triple: [XAVC HS, supportsGammaCurve, S-Log3]
-
A.
gammaCurveType
chosen
Indicates the specific type or model of gamma correction curve applied in a color or image processing context.
-
B.
assumedDisplayGamma
Indicates that a specific gamma value is presumed to characterize the display’s tone response or brightness mapping behavior.
-
C.
supportsColorProfile
Indicates that one entity is capable of recognizing, handling, or applying the specified color profile associated with another entity.
-
D.
usesColorGamut
Indicates that one entity employs or operates within the color gamut defined or provided by another entity.
-
E.
hasMasteringCapabilities
Indicates that an entity possesses the ability or tools to perform audio mastering or final optimization of media content.
- F. None of above.
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_69f348cae52081909fa8e5f697523ae3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a037c876524819098545e6037d3107d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a2b146c736c8190b4822f4493777995 |
completed | June 11, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_6a0379e7aa0c8190bdc9ee4d54fc821b |
completed | May 12, 2026, 7:05 p.m. |
Created at: April 30, 2026, 9:42 p.m.