Triple
T30698601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sony α7 IV |
E781547
|
entity |
| Predicate | realTimeEyeAFSubjects |
P88980
|
FINISHED |
| Object | humans |
—
|
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: humans | Statement: [Sony α7 IV, realTimeEyeAFSubjects, humans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: realTimeEyeAFSubjects Context triple: [Sony α7 IV, realTimeEyeAFSubjects, humans]
-
A.
supportsRealTimeEyeAF
chosen
Indicates that the subject provides real-time autofocus functionality specifically for tracking and focusing on a subject’s eyes.
-
B.
eyeFeatureObserved
Indicates that a specific characteristic or condition of the eye has been detected or recorded through observation.
-
C.
fromEyes
Indicates that something originates from, is emitted by, or comes out of the eyes of an entity.
-
D.
eagleFaces
Indicates that an eagle is oriented toward, looking at, or facing another entity or direction.
-
E.
recognizesPeople
Indicates that an entity is able to identify or acknowledge specific individuals as distinct persons.
- 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_69f224ab24e08190991d6edb6df58e8b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68bdceb8c8190b78e499ea2357e0f |
completed | May 2, 2026, 11:42 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:34 p.m.