Triple

T9911699
Position Surface form Disambiguated ID Type / Status
Subject The Yellow Book E185159 entity
Predicate notableContributor P304 FINISHED
Object Walter Sickert E61244 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: Walter Sickert | Statement: [The Yellow Book, notableContributor, Walter Sickert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Sickert
Context triple: [The Yellow Book, notableContributor, Walter Sickert]
  • A. Walter Sickert chosen
    Walter Sickert was a British painter and printmaker associated with the Camden Town Group, known for his atmospheric urban scenes and influential role in the development of modern British art.
  • B. Oswald Adalbert Sickert
    Oswald Adalbert Sickert was a German-born artist and engraver best known as the father of the influential British painter Walter Sickert.
  • C. Rupert Bonington
    Rupert Bonington is the son of renowned British mountaineer Sir Chris Bonington.
  • D. John Wain
    John Wain was an English novelist, poet, critic, and member of the postwar "Angry Young Men" literary movement.
  • E. L. S. Lowry
    L. S. Lowry was a 20th-century English painter best known for his distinctive industrial landscapes populated with “matchstick” figures, depicting working-class life in northern England.
  • 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_69ca8296165881908ca4750701af1f29 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cdb5391b8081908094b88cdde4b55a completed April 2, 2026, 12:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69d20dbfa89881909ea6bbcfcf6fc08f completed April 5, 2026, 7:22 a.m.
Created at: March 30, 2026, 8:41 p.m.