Triple
T18395843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dahlia |
E449866
|
entity |
| Predicate | hasVisualStyleInfluencedBy |
P127058
|
FINISHED |
| Object | surrealist painting |
—
|
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: surrealist painting | Statement: [Dahlia, hasVisualStyleInfluencedBy, surrealist painting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVisualStyleInfluencedBy Context triple: [Dahlia, hasVisualStyleInfluencedBy, surrealist painting]
-
A.
visualDesignInspiredBy
chosen
Indicates that the visual design of one entity is influenced, modeled, or derived from the visual style or appearance of another entity.
-
B.
usesAsStyleOf
Indicates that one entity adopts or applies another entity as a stylistic model, method, or manner of expression.
-
C.
hasSignatureVisualStyle
Indicates that an entity is characterized by a distinctive and recognizable visual style that sets it apart from others.
-
D.
inTheStyleOf
Indicates that one entity is created, performed, or presented in a manner that imitates or closely resembles the characteristic style of another entity.
-
E.
hasVisualImpact
Indicates that one entity affects or influences the visual appearance or aesthetic perception of another.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e51846bb4c8190990f42a792a78ee0 |
completed | April 19, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69e44ff1f92c8190afbb8e85d12bf2a9 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:46 a.m.