Triple

T16663189
Position Surface form Disambiguated ID Type / Status
Subject Dowty Rotol E404911 entity
Predicate namedAfter P63 FINISHED
Object George Dowty E1225999 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: George Dowty | Statement: [Dowty Rotol, namedAfter, George Dowty]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Dowty
Context triple: [Dowty Rotol, namedAfter, George Dowty]
  • A. George Dowty chosen
    George Dowty was a British engineer and industrialist best known for pioneering aircraft landing gear and propeller systems and founding the Dowty aviation engineering group.
  • B. Douglas Cockerell
    Douglas Cockerell was a prominent British bookbinder and teacher, renowned for his influential work in fine binding and book conservation in the early 20th century.
  • C. Guy N. Pocock
    Guy N. Pocock was a British writer, editor, and educator known for his work on English literature and language textbooks in the early to mid-20th century.
  • D. P. C. Wren
    P. C. Wren was a British writer best known for his adventure novels set in the French Foreign Legion, particularly the classic tale "Beau Geste."
  • E. Walter Kingsford
    Walter Kingsford was a British-born character actor best known for his numerous supporting roles in Hollywood films of the 1930s and 1940s, often portraying dignified professionals or authority figures.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37c9afd048190b73bbc9c423915ca completed April 18, 2026, 12:44 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a32988c8190a671a4cbd829047a completed May 10, 2026, 1:37 p.m.
Created at: April 10, 2026, 5:18 a.m.