Triple
T17338775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English landscape school |
E421009
|
entity |
| Predicate | notableArtist |
P601
|
FINISHED |
| Object | Samuel Palmer |
—
|
NE NERFINISHED |
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: Samuel Palmer | Statement: [English landscape school, notableArtist, Samuel Palmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Palmer Context triple: [English landscape school, notableArtist, Samuel Palmer]
-
A.
Samuel Palmer
chosen
Samuel Palmer was a 19th-century English Romantic landscape painter and printmaker known for his visionary, pastoral scenes and association with the Ancients.
-
B.
Ford Madox Brown
Ford Madox Brown was a 19th-century British painter closely associated with the Pre-Raphaelite movement, known for his richly detailed, socially conscious historical and genre scenes.
-
C.
William Dyce
William Dyce was a 19th-century Scottish painter and influential art educator associated with the early Pre-Raphaelite movement.
-
D.
John Crome
John Crome was an English landscape painter and leading figure of the early 19th-century Norwich School, noted for his naturalistic depictions of the English countryside.
-
E.
Joseph Turner
Joseph Turner is a fictional U.S. Army officer and key supporting character in the World War II-themed video game Call of Duty: WWII.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a13dd44819091d296c764976dfe |
completed | April 19, 2026, 2:12 a.m. |
Created at: April 10, 2026, 5:44 a.m.