Triple

T10177633
Position Surface form Disambiguated ID Type / Status
Subject The Judd School E235893 entity
Predicate foundedBy P104 FINISHED
Object Sir Andrew Judde E745966 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: Sir Andrew Judde | Statement: [The Judd School, foundedBy, Sir Andrew Judde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir Andrew Judde
Context triple: [The Judd School, foundedBy, Sir Andrew Judde]
  • A. Sir Andrew Judde chosen
    Sir Andrew Judde was a 16th-century English merchant and Lord Mayor of London known for his philanthropy and support of education.
  • B. Thomas Lord
    Thomas Lord was an English professional cricketer and entrepreneur best known for founding the famous Lord's Cricket Ground in London.
  • C. 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.
  • D. 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.
  • E. John Sheffield
    John Sheffield was a British-born American child actor best known for playing Boy alongside Johnny Weissmuller in the classic Tarzan film series.
  • 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_69ca84d1d5f88190ab878a1021ecff68 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdecd4e3188190aa5d9ee95595f4a7 completed April 2, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d31792490c819088c89444f75cdbc9 completed April 6, 2026, 2:16 a.m.
Created at: March 30, 2026, 9:11 p.m.