Triple
T25952062
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trevor Key |
E653987
|
entity |
| Predicate | notableForVisualStyle |
P46274
|
FINISHED |
| Object | use of constructed photographic objects |
—
|
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: use of constructed photographic objects | Statement: [Trevor Key, notableForVisualStyle, use of constructed photographic objects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableForVisualStyle Context triple: [Trevor Key, notableForVisualStyle, use of constructed photographic objects]
-
A.
notableStyleFeature
chosen
Indicates that an entity possesses a distinctive stylistic characteristic or design element that is especially noteworthy or defining.
-
B.
notableColor
Indicates that an entity is characteristically or prominently associated with a particular color.
-
C.
notableSubstyle
Indicates that one style is a notable or distinct subcategory within another broader style.
-
D.
notableStyleRegion
Indicates that a particular style, manner, or artistic approach is especially characteristic of or prominent within a specific geographic region.
-
E.
notableDisplay
Indicates that something is prominently or distinctively presented in a way that draws special attention or recognition.
- 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_69e7ab40ac788190a771bc499eb1ae5f |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69fddd373cdc8190be1b12e70e4deb1f |
completed | May 8, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fddc6915a88190ad41e379aa3ede13 |
completed | May 8, 2026, 12:51 p.m. |
Created at: April 22, 2026, 8:44 a.m.