Triple
T30382273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony E |
E772862
|
entity |
| Predicate | supportsEyeAF |
P207251
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sony E, supportsEyeAF, true]
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 (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_69f2248e3444819081b05712dc6873de |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e2fac0819089b522db3260028c |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 29, 2026, 8 p.m.