Triple

T12050970
Position Surface form Disambiguated ID Type / Status
Subject William Railton E286913 entity
Predicate name P16 FINISHED
Object William Railton E286913 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: William Railton | Statement: [William Railton, name, William Railton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Railton
Context triple: [William Railton, name, William Railton]
  • A. William Railton chosen
    William Railton was a 19th-century English architect best known for designing Nelson's Column in London's Trafalgar Square.
  • B. John Seaton
    John Seaton is a fictional character from the 1978 British-American sports drama film "International Velvet."
  • C. Julian Bannerman
    Julian Bannerman is a British garden designer known for his romantic, theatrical landscapes created in partnership with his wife, Isabel Bannerman.
  • D. Richard Rathbone
    Richard Rathbone is a historian known for his scholarship on African history, particularly the political and social history of Ghana.
  • E. Edward Shearmur
    Edward Shearmur is a British film composer known for his orchestral scores for a wide range of Hollywood movies and television projects.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d904227958819084dbd5eb2566c735 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dd140a48190844f64c228e6367a completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.