Triple

T11419877
Position Surface form Disambiguated ID Type / Status
Subject Arthur Davidson E270590 entity
Predicate name P16 FINISHED
Object Arthur Davidson E270590 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: Arthur Davidson | Statement: [Arthur Davidson, name, Arthur Davidson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arthur Davidson
Context triple: [Arthur Davidson, name, Arthur Davidson]
  • A. Arthur Davidson chosen
    Arthur Davidson was an American motorcycle pioneer and co-founder of the Harley-Davidson Motor Company.
  • B. George Davison
    George Davison is an Anglican bishop who serves as a senior cleric in the Church of Ireland.
  • C. James Frederick Dawson
    James Frederick Dawson was an American landscape architect known for his influential work with the renowned Olmsted Brothers firm on parks, estates, and urban planning projects in the early 20th century.
  • D. Alfred Davidson
    Alfred Davidson is a rigidly moralistic missionary character in W. Somerset Maugham’s story “Rain,” whose puritanical zeal drives the central conflict with Sadie Thompson.
  • E. Henry Daniell
    Henry Daniell was a British character actor renowned for his many villainous and aristocratic roles in classic Hollywood films of the 1930s and 1940s.
  • 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_69d6aaddeaa8819088b30ef7b50598c9 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b20ce08190befc98379b879985 completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d36004cc81908222321af88d2903 completed April 20, 2026, 7:18 a.m.
Created at: April 8, 2026, 9:34 p.m.