Triple
T9004555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Live Photos |
E215111
|
entity |
| Predicate | postShutterCaptureSeconds |
P85675
|
FINISHED |
| Object | 1.5 |
—
|
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: 1.5 | Statement: [Live Photos, postShutterCaptureSeconds, 1.5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: postShutterCaptureSeconds Context triple: [Live Photos, postShutterCaptureSeconds, 1.5]
-
A.
exposureTime
Indicates the duration for which a subject or object is exposed to a particular condition, influence, or medium.
-
B.
shotOn
Indicates that one entity fired or took a shot at another entity, typically in a sports or combat context.
-
C.
shotFrom
Indicates that something is propelled or discharged starting at a particular source or origin.
-
D.
shotBy
Indicates that one entity fired a projectile or weapon that hit and wounded or killed another entity.
-
E.
numberOfStills
Indicates the quantity of still images associated with or contained in a given entity or context.
- 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_69ca83a12d648190b1e4fe11e8a31890 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6959497c8190a748c78504dd2eb6 |
completed | April 1, 2026, 12:39 a.m. |
| PD | Predicate disambiguation | batch_69cc5edd6cb48190b4fc6d6ca0418056 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f6dec4081909379bd57c02a5710 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:05 p.m.