Triple
T9412682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Inness Jr. |
E226740
|
entity |
| Predicate | visualArtForm |
P18308
|
FINISHED |
| Object | oil 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: oil painting | Statement: [George Inness Jr., visualArtForm, oil painting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: visualArtForm Context triple: [George Inness Jr., visualArtForm, oil painting]
-
A.
artwork
Indicates that one entity is an artwork created, presented, or associated with another entity (such as an artist, collection, or institution).
-
B.
artworkType
Indicates the specific category or kind of artwork that characterizes the relationship between the subject and the artwork.
-
C.
artisticField
Indicates the artistic domain or creative discipline in which an entity is active or associated.
-
D.
artisticMedium
chosen
Indicates the material or technique used to create an artwork or artistic expression.
-
E.
traditionalArtForm
Indicates that something is an established artistic practice or style that has been handed down through cultural or historical tradition.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd5258f7e081908d48600409181fdb |
completed | April 1, 2026, 5:14 p.m. |
| PD | Predicate disambiguation | batch_69cca54c37f88190bddccf28e5fe5c84 |
completed | April 1, 2026, 4:55 a.m. |
Created at: March 30, 2026, 7:47 p.m.