Triple

T19543894
Position Surface form Disambiguated ID Type / Status
Subject Geoffrey Toone E488985 entity
Predicate name P16 FINISHED
Object Geoffrey Toone NE NERFINISHED

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: Geoffrey Toone | Statement: [Geoffrey Toone, name, Geoffrey Toone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geoffrey Toone
Context triple: [Geoffrey Toone, name, Geoffrey Toone]
  • A. Geoffrey Toone chosen
    Geoffrey Toone was a British actor known for his extensive work in film, television, and theatre throughout the mid-20th century.
  • B. Geoff Tootill
    Geoff Tootill was a British electronic engineer and computer scientist who helped build some of the world’s earliest stored-program computers.
  • C. Ray Houghton
    Ray Houghton is a former professional footballer best known for scoring crucial goals for the Republic of Ireland at major international tournaments, including the 1988 European Championship and the 1994 World Cup.
  • D. Douglas Gamley
    Douglas Gamley was an Australian-born composer and arranger best known for his film scores and orchestral arrangements in mid-20th-century British cinema.
  • E. Michael Elphick
    Michael Elphick was an English actor known for his rugged, working-class roles in British film and television, including notable appearances in series like "Boon" and various acclaimed dramas.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e638750b288190aecdb0e18a1add62 completed April 20, 2026, 2:30 p.m.
Created at: April 10, 2026, 1:41 p.m.