Triple
T29825931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Study of Perspective – St. Mark’s Square |
E757375
|
entity |
| Predicate | hasArtisticDevice |
P171067
|
FINISHED |
| Object | photographic framing |
—
|
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: photographic framing | Statement: [Study of Perspective – St. Mark’s Square, hasArtisticDevice, photographic framing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtisticDevice Context triple: [Study of Perspective – St. Mark’s Square, hasArtisticDevice, photographic framing]
-
A.
artisticDevice
chosen
Indicates the use of a specific artistic or literary technique employed to achieve a particular expressive or aesthetic effect.
-
B.
hasArtFeature
Indicates that an entity possesses or is characterized by a particular artistic attribute, element, or stylistic feature.
-
C.
hasArtisticContent
Indicates that something contains or embodies artistic material, expression, or creative work.
-
D.
hasArtisticGenre
Indicates that an entity (such as a work or creation) belongs to or is characterized by a particular artistic genre.
-
E.
hasArtisticLevel
Indicates the degree or quality of artistic skill, sophistication, or creativity associated with an entity.
- 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_69f22457c84c8190a6d9f56bc74082a9 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c475c58c8190a883554231e88c88 |
completed | May 3, 2026, 9:56 p.m. |
Created at: April 29, 2026, 5:31 p.m.