Triple
T30300709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motion Photos |
E770644
|
entity |
| Predicate | capturesBeforeShutter |
P85674
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Motion Photos, capturesBeforeShutter, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capturesBeforeShutter Context triple: [Motion Photos, capturesBeforeShutter, yes]
-
A.
preShutterCaptureSeconds
chosen
Indicates the amount of time, in seconds, that elapses before the shutter is triggered to capture an image.
-
B.
shotOn
Indicates that one entity fired or took a shot at another entity, typically in a sports or combat context.
-
C.
shutterSpeed
Indicates the exposure time setting of a camera, defining how long the shutter remains open during an image capture.
-
D.
postShutterCaptureSeconds
Indicates the amount of time, in seconds, that has elapsed after the shutter is triggered to capture an image or measurement.
-
E.
shotFrom
Indicates that something is propelled or discharged starting at a particular source or origin.
- 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_69f224881b948190b8c4921b250a44a3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6813a47dc81908cc75bae4d2b97cc |
completed | May 2, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
Created at: April 29, 2026, 7:48 p.m.