Triple
T35850641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple Night mode |
E1036343
|
entity |
| Predicate | exposureRange |
P171185
|
FINISHED |
| Object | varies based on scene brightness and motion |
—
|
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: varies based on scene brightness and motion | Statement: [Apple Night mode, exposureRange, varies based on scene brightness and motion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exposureRange Context triple: [Apple Night mode, exposureRange, varies based on scene brightness and motion]
-
A.
exposureCompensationRange
chosen
Indicates the range of exposure compensation values that can be applied to adjust image brightness relative to the camera’s metered exposure.
-
B.
exposureLevel
Indicates the degree or intensity to which an entity is subjected or exposed to a particular factor, condition, or influence.
-
C.
exposureType
Indicates the specific manner or context in which one entity is exposed to another entity, condition, or influence.
-
D.
focalLengthRange
Indicates the range of focal lengths over which an optical device (such as a lens) can operate or be adjusted.
-
E.
exposureModes
Indicates the different ways or conditions under which an entity can be exposed to another entity, factor, or influence.
- 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_69f76e1b4aa481909630373171eb5ec6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7aa3883d48190b05e3d2da7a017ae |
completed | May 3, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69f7a8d435288190b30b1991fb003121 |
completed | May 3, 2026, 7:58 p.m. |
Created at: May 3, 2026, 4:06 p.m.