Triple
T21729972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tidal Wave |
E536377
|
entity |
| Predicate | splashPhotography |
P62927
|
FINISHED |
| Object | photo taken at bottom of main drop |
—
|
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: photo taken at bottom of main drop | Statement: [Tidal Wave, splashPhotography, photo taken at bottom of main drop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: splashPhotography Context triple: [Tidal Wave, splashPhotography, photo taken at bottom of main drop]
-
A.
photographyGenre
chosen
Indicates the specific genre or style of photography that characterizes a photographic work or activity.
-
B.
shotFrom
Indicates that something is propelled or discharged starting at a particular source or origin.
-
C.
captures
Indicates that one entity seizes, traps, or takes control of another entity, often preventing its escape or freedom.
-
D.
usesPhotographyFrom
Indicates that one entity employs or incorporates photographic material originating from another entity.
-
E.
shotOn
Indicates that one entity fired or took a shot at another entity, typically in a sports or combat context.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69effd064fcc819084852b4248f65a81 |
completed | April 28, 2026, 12:19 a.m. |
| PD | Predicate disambiguation | batch_69e6969725bc81908e7ad19619ba2688 |
completed | April 20, 2026, 9:11 p.m. |
Created at: April 16, 2026, 6:48 p.m.