Triple

T13448532
Position Surface form Disambiguated ID Type / Status
Subject Billy Liar E320546 entity
Predicate screenwriter P2831 FINISHED
Object Keith Waterhouse E1040246 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: Keith Waterhouse | Statement: [Billy Liar, screenwriter, Keith Waterhouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keith Waterhouse
Context triple: [Billy Liar, screenwriter, Keith Waterhouse]
  • A. Keith Waterhouse chosen
    Keith Waterhouse was a British novelist, playwright, and journalist best known for his comic novel "Billy Liar" and his long-running contributions to British newspapers and television.
  • B. John Burningham
    John Burningham was a renowned British author and illustrator of children's books, celebrated for his distinctive, whimsical artwork and storytelling.
  • C. Andrew Hulme
    Andrew Hulme is a British film editor known for his work on feature films such as the crime thriller "Lucky Number Slevin."
  • D. Harold Lamb
    Harold Lamb was an American historian, novelist, and screenwriter best known for his popular biographies and adventure stories set in Asian and Middle Eastern historical contexts.
  • E. Richard Llewellyn
    Richard Llewellyn was a Welsh novelist best known for his 1939 work "How Green Was My Valley," a classic depiction of life in a South Wales mining community.
  • 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_69d80761e6cc8190a90c844589998ecc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaef758b08190b9aa5ec7082cd417 completed April 12, 2026, 2:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7462340548190b156a8213f5e2556 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:41 p.m.