Triple

T21610804
Position Surface form Disambiguated ID Type / Status
Subject Anthony Berkeley Cox E533299 entity
Predicate notableWork P4 FINISHED
Object The Wychford Poisoning Case NE NERFINISHED

How this triple was built (3 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: The Wychford Poisoning Case | Statement: [Anthony Berkeley Cox, notableWork, The Wychford Poisoning Case]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Wychford Poisoning Case
Context triple: [Anthony Berkeley Cox, notableWork, The Wychford Poisoning Case]
  • A. The Wimbledon Poisoner
    The Wimbledon Poisoner is a darkly comic crime novel by Nigel Williams about a suburban man whose inept attempts at murder spiral into chaos.
  • B. The Wychford Murders
    The Wychford Murders is a crime novel by Paula Gosling featuring a suspenseful murder investigation set in an English village.
  • C. The Leavenworth Case
    The Leavenworth Case is a 1936 American mystery film adaptation of Anna Katharine Green’s novel, featuring Sally Blane in a leading role.
  • D. Wonderland murders
    The Wonderland murders were a notorious 1981 Los Angeles multiple homicide case involving drug dealers and porn star John Holmes, emblematic of the city’s violent, drug-fueled underworld.
  • E. The Pembrokeshire Murders
    The Pembrokeshire Murders is a British true-crime television drama series that chronicles the real-life investigation and eventual capture of Welsh serial killer John Cooper.
  • 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: The Wychford Poisoning Case
Target entity description: The Wychford Poisoning Case is a classic 1920s British detective novel by Anthony Berkeley (Anthony Berkeley Cox), featuring a complex poisoning mystery and early examples of psychological crime-solving.
  • A. The Wimbledon Poisoner
    The Wimbledon Poisoner is a darkly comic crime novel by Nigel Williams about a suburban man whose inept attempts at murder spiral into chaos.
  • B. The Wychford Murders
    The Wychford Murders is a crime novel by Paula Gosling featuring a suspenseful murder investigation set in an English village.
  • C. The Leavenworth Case
    The Leavenworth Case is a 1936 American mystery film adaptation of Anna Katharine Green’s novel, featuring Sally Blane in a leading role.
  • D. Wonderland murders
    The Wonderland murders were a notorious 1981 Los Angeles multiple homicide case involving drug dealers and porn star John Holmes, emblematic of the city’s violent, drug-fueled underworld.
  • E. The Pembrokeshire Murders
    The Pembrokeshire Murders is a British true-crime television drama series that chronicles the real-life investigation and eventual capture of Welsh serial killer John Cooper.
  • F. None of above. chosen

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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef17e88f7081909371bc0de2147609 completed April 27, 2026, 8:01 a.m.
Created at: April 16, 2026, 6:33 p.m.