Triple
T37479995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blackmagic Pocket Cinema Camera 4K |
E931387
|
entity |
| Predicate | maxISO |
P171095
|
FINISHED |
| Object | 25600 |
—
|
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: 25600 | Statement: [Blackmagic Pocket Cinema Camera 4K, maxISO, 25600]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maxISO Context triple: [Blackmagic Pocket Cinema Camera 4K, maxISO, 25600]
-
A.
maximumShutterSpeed
Indicates the highest shutter speed value that can be set or achieved in a given photographic or imaging context.
-
B.
maximumAperture
Indicates the widest opening size that an optical system (such as a lens) can achieve to allow light to pass through.
-
C.
maximumResolution
Indicates the highest level of detail or fineness at which something (such as an image, display, or measurement) can be represented or processed.
-
D.
maximumFocalLength
Indicates the greatest focal length value that an optical device or system can achieve.
-
E.
nativeISOmax
chosen
Indicates the maximum native ISO sensitivity a camera sensor can achieve without using extended or boosted ISO modes.
- 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.