Triple

T6295101
Position Surface form Disambiguated ID Type / Status
Subject British Computer Society E141110 entity
Predicate foundedBy P104 FINISHED
Object Tom Kilburn E436457 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: Tom Kilburn | Statement: [British Computer Society, foundedBy, Tom Kilburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tom Kilburn
Context triple: [British Computer Society, foundedBy, Tom Kilburn]
  • A. Tom Kilburn chosen
    Tom Kilburn was a British computer scientist and engineer who played a pioneering role in the development of early stored-program computers, including the Manchester Baby and its commercial successor, the Ferranti Mark I.
  • B. John Brabourne
    John Brabourne was a British film and television producer, known for his adaptations of classic literature and for being the son-in-law of Lord Mountbatten.
  • C. Geoffrey Charles Hurst
    Geoffrey Charles Hurst is an English former footballer best known for scoring a hat-trick for England in the 1966 FIFA World Cup Final.
  • D. Ian Stokell
    Ian Stokell is a screenwriter best known for co-writing the 2022 film adaptation of "All Quiet on the Western Front."
  • E. Cyril Hume
    Cyril Hume was an American screenwriter best known for his work on numerous Hollywood films from the 1920s through the 1950s, including several notable science fiction and adventure movies.
  • 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06439a6908190b0a8ebf426d3ca02 completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c51988f1388190b36212b0d9756863 completed March 26, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:27 p.m.