Triple

T21165935
Position Surface form Disambiguated ID Type / Status
Subject Michael Llewelyn Davies E521561 entity
Predicate coDiedWith P86215 FINISHED
Object Rupert Buxton NE NERFINISHED

How this triple was built (4 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: Rupert Buxton | Statement: [Michael Llewelyn Davies, coDiedWith, Rupert Buxton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rupert Buxton
Context triple: [Michael Llewelyn Davies, coDiedWith, Rupert Buxton]
  • A. Rupert Baxter
    Rupert Baxter is a recurring character in P. G. Wodehouse’s Blandings Castle stories, known as the hyper-efficient, suspicious former secretary whose attempts to impose order often lead to comic chaos.
  • B. Rupert Harvey
    Rupert Harvey is a film producer and director best known for his work on the Critters horror-comedy franchise.
  • C. Rupert Walters
    Rupert Walters is a British screenwriter and playwright known for his work on film and television, including the period drama "Restoration."
  • D. Cecil Poynton
    Cecil Poynton was an English footballer and long-serving full-back for Tottenham Hotspur during the early 20th century.
  • E. Rupert Thompson
    Rupert Thompson was a benefactor whose contributions to Dartmouth College led to the university’s ice hockey arena being named in his honor.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rupert Buxton
Target entity description: Rupert Buxton was an English student and close friend of Michael Llewelyn Davies, remembered primarily for their mysterious joint drowning at Oxford in 1921.
  • A. Rupert Baxter
    Rupert Baxter is a recurring character in P. G. Wodehouse’s Blandings Castle stories, known as the hyper-efficient, suspicious former secretary whose attempts to impose order often lead to comic chaos.
  • B. Rupert Harvey
    Rupert Harvey is a film producer and director best known for his work on the Critters horror-comedy franchise.
  • C. Rupert Walters
    Rupert Walters is a British screenwriter and playwright known for his work on film and television, including the period drama "Restoration."
  • D. Cecil Poynton
    Cecil Poynton was an English footballer and long-serving full-back for Tottenham Hotspur during the early 20th century.
  • E. Rupert Thompson
    Rupert Thompson was a benefactor whose contributions to Dartmouth College led to the university’s ice hockey arena being named in his honor.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: coDiedWith
Context triple: [Michael Llewelyn Davies, coDiedWith, Rupert Buxton]
  • A. diesWith chosen
    Indicates that one entity ceases to live or exist at the same time or as a direct consequence of another entity’s death.
  • B. diedAs
    Indicates that an entity ceased to live in a particular role, state, or identity.
  • C. diedAfter
    Indicates that one entity’s death occurred later in time than another entity’s death.
  • D. associatedWithDeathOf
    Indicates a relationship where one entity is connected in some relevant way to the death of another entity, such as by involvement, causation, or contextual association.
  • E. diedWhile
    Indicates that one entity ceased to live during the occurrence or performance of another specified event or activity.
  • F. None of above.

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_69e0b50e30748190b186824a206d39b9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7270efe3081908a50fc601c2f958c completed April 21, 2026, 7:28 a.m.
PD Predicate disambiguation batch_69e5f6027c248190a170a36612bd337e completed April 20, 2026, 9:46 a.m.
Created at: April 16, 2026, 2:59 p.m.