Triple
T20326559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yellow, Pink and Lavender on Rose |
E492353
|
entity |
| Predicate | artisticElement |
P16367
|
FINISHED |
| Object | large areas of flat color |
—
|
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: large areas of flat color | Statement: [Yellow, Pink and Lavender on Rose, artisticElement, large areas of flat color]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artisticElement Context triple: [Yellow, Pink and Lavender on Rose, artisticElement, large areas of flat color]
-
A.
artisticField
Indicates the artistic domain or creative discipline in which an entity is active or associated.
-
B.
artisticCharacteristic
chosen
Indicates that one entity possesses or exhibits a particular artistic quality, style, or trait in relation to another.
-
C.
artisticFunction
Indicates that one entity serves a creative, expressive, or aesthetic role or purpose in relation to another entity.
-
D.
artwork
Indicates that one entity is an artwork created, presented, or associated with another entity (such as an artist, collection, or institution).
-
E.
artisticDepiction
Indicates that one entity visually represents, portrays, or illustrates another in an artistic medium.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e677e4130081909ec54f131939e442 |
completed | April 20, 2026, 7 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:21 a.m.