Triple
T30382285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony E |
E772862
|
entity |
| Predicate | supportsManualFocusLensesViaAdapters |
P207252
|
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, supportsManualFocusLensesViaAdapters, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsManualFocusLensesViaAdapters Context triple: [Sony E, supportsManualFocusLensesViaAdapters, true]
-
A.
supportsInterchangeableLenses
Indicates that one entity is capable of using or accommodating different lenses that can be removed and replaced interchangeably.
-
B.
poseFocus
Indicates that attention or emphasis is directed toward a particular pose or body position within a scene or interaction.
-
C.
usesLensMount
Indicates that one device or component is designed to accept, attach to, or operate with a specific type of lens mount.
-
D.
hasLongFocalLength
Indicates that one entity possesses or is characterized by a focal length that is relatively long compared to a standard or reference.
-
E.
hasShutterSpeedDial
Indicates that an object possesses a dedicated control or mechanism for adjusting shutter speed.
- 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.