Triple
T37479967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackmagic Pocket Cinema Camera 4K |
E931387
|
entity |
| Predicate | maxFrameRateAt4K |
P68881
|
FINISHED |
| Object | 60 fps |
—
|
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: 60 fps | Statement: [Blackmagic Pocket Cinema Camera 4K, maxFrameRateAt4K, 60 fps]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxFrameRateAt4K Context triple: [Blackmagic Pocket Cinema Camera 4K, maxFrameRateAt4K, 60 fps]
-
A.
propertyType_maxFramerate
chosen
Indicates the maximum frame rate value that the property can support or is configured to allow.
-
B.
commonFrameRate
Indicates that two or more media items share the same frame rate.
-
C.
4KRecommendedBandwidth
Indicates the amount of network bandwidth that is recommended to reliably stream or deliver 4K (ultra-high-definition) content.
-
D.
supportsFrameRates
Indicates that one entity is capable of operating with, handling, or being compatible with the specified frame rates of another entity.
-
E.
supports4KVideoRecording
Indicates that the subject is capable of recording video at 4K (Ultra HD) resolution.
- 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_69f76ec382248190b47844df596123c6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba68077788190b311e027435fcf87 |
completed | May 6, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69fba34c65ac8190b298f0f00d1dcc0e |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:17 p.m.