Triple
T21903429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbizon region |
E540867
|
entity |
| Predicate | paintingSubject |
P63655
|
FINISHED |
| Object | rural life |
—
|
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: rural life | Statement: [Barbizon region, paintingSubject, rural life]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: paintingSubject Context triple: [Barbizon region, paintingSubject, rural life]
-
A.
fieldOfDepiction
Indicates that one entity serves as the subject matter or thematic focus depicted within another entity, such as an image, artwork, or representation.
-
B.
artworkSubjectHeading
chosen
Indicates that an artwork is associated with a specific subject heading used to categorize or describe its thematic content.
-
C.
paintingProject
Indicates a relationship where an entity undertakes or is associated with the activity of creating, executing, or managing a painting-related task or assignment.
-
D.
paintingPractice
Indicates engaging in the activity of practicing or improving skills in painting.
-
E.
paintingTradition
Indicates a stylistic or cultural school of painting to which an artwork or artist belongs.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d3c23081908c30c3a617002389 |
completed | April 28, 2026, 9:08 p.m. |
| PD | Predicate disambiguation | batch_69e6be9ebf4c8190892df1a8e1313f88 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:25 p.m.