Triple
T15648135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bust of Buffon |
E376233
|
entity |
| Predicate | influencedByArtMovement |
P87217
|
FINISHED |
| Object | Classical art |
—
|
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: Classical art | Statement: [Bust of Buffon, influencedByArtMovement, Classical art]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedByArtMovement Context triple: [Bust of Buffon, influencedByArtMovement, Classical art]
-
A.
influenceOnArt
Indicates that one entity has affected, shaped, or inspired the artistic style, content, or development of another.
-
B.
isDepictedInArtMovement
Indicates that an entity is portrayed or represented within artworks associated with a particular art movement.
-
C.
movementInfluences
Indicates that one entity’s movement affects, alters, or determines the movement or motion-related behavior of another entity.
-
D.
inspiredArtMovement
Indicates that one entity served as a creative or conceptual influence leading to the development or direction of an art movement in the other entity.
-
E.
wereInfluencedBy
chosen
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by another 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_69d85cd1564c8190991adda63bfab4b0 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ed7212c8190be6ff76afa25f7ca |
completed | April 16, 2026, 2:52 a.m. |
| PD | Predicate disambiguation | batch_69deda890140819082608931e993dd61 |
completed | April 15, 2026, 12:23 a.m. |
Created at: April 10, 2026, 4:15 a.m.