Triple
T2696216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Duncan Grant |
E58516
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Duncan Grant |
E58516
|
NE 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: Duncan Grant | Statement: [Duncan Grant, name, Duncan Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Duncan Grant Context triple: [Duncan Grant, name, Duncan Grant]
-
A.
Duncan Grant
chosen
Duncan Grant was a British painter and designer best known for his central role in the Bloomsbury Group and his innovative contributions to modernist art in early 20th-century Britain.
-
B.
Roger Fry
Roger Fry was an influential English art critic and painter who played a key role in introducing and promoting Post-Impressionism in Britain.
-
C.
Frank Brangwyn
Frank Brangwyn was a British artist and designer renowned for his dynamic murals, prints, and decorative arts that contributed significantly to early 20th-century art and architecture.
-
D.
Paul Nash
Paul Nash was a prominent British painter and war artist known for his haunting landscapes and powerful depictions of World War I and II battlefields.
-
E.
C.R.W. Nevinson
C.R.W. Nevinson was a prominent British modernist painter and printmaker best known for his powerful Futurist-influenced depictions of World War I.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda3112108190a5e49c13368cf83f |
completed | March 7, 2026, 7:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb67e21d481908ce4ec01603767bb |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:55 p.m.