Triple
T30382273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony E |
E772862
|
entity |
| Predicate | supportsEyeAF |
—
|
GENERATED |
| Object | true |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsEyeAF Context triple: [Sony E, supportsEyeAF, true]
-
A.
supportsRealTimeEyeAF
Indicates that the subject provides real-time autofocus functionality specifically for tracking and focusing on a subject’s eyes.
-
B.
supportsEyeAFForBirds
Indicates that the subject device or system provides autofocus support specifically for photographing birds’ eyes.
-
C.
supportsEyeAFForAnimals
Indicates that a device or system provides eye autofocus functionality specifically designed to work with animal subjects.
-
D.
eyeFeatureObserved
Indicates that a specific characteristic or condition of the eye has been detected or recorded through observation.
-
E.
hasFaceDetectionAF
Indicates that an entity supports or uses autofocus functionality based on detecting human faces in the frame.
- F. None of above. chosen
Provenance (1 batch)
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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 8 p.m.