Triple

T6302737
Position Surface form Disambiguated ID Type / Status
Subject Clive Bell E141293 entity
Predicate associatedWith P37 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: [Clive Bell, associatedWith, Duncan Grant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Duncan Grant
Context triple: [Clive Bell, associatedWith, 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. John Latham
    John Latham was an 18th–19th century English physician and ornithologist known for his pioneering work in bird classification and early descriptions of many species.
  • E. 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.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645cfca88190ace060ef5b0e00e8 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e436e7ec8190a5ea470eb83ddaea completed March 27, 2026, 1:58 a.m.
Created at: March 22, 2026, 4:27 p.m.