Triple

T10284886
Position Surface form Disambiguated ID Type / Status
Subject Love Letters E241201 entity
Predicate castMember P1668 FINISHED
Object John Warburton E789602 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: John Warburton | Statement: [Love Letters, castMember, John Warburton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Warburton
Context triple: [Love Letters, castMember, John Warburton]
  • A. John Warburton
    John Warburton was an 18th-century English antiquary and collector known for preserving and cataloguing rare manuscripts and historical documents.
  • B. John Warburton chosen
    John Warburton was a British-born actor known for his supporting roles in Hollywood films during the 1930s and 1940s.
  • C. William Price
    William Price is a good-natured, seafaring brother of Fanny Price in Jane Austen’s novel "Mansfield Park," known for his lively spirit and affectionate loyalty to his family.
  • D. William Price
    William Price was an 18th-century architect and builder active in colonial Boston, known for his work on prominent structures such as the Old North Church.
  • E. William Cullen
    William Cullen was an 18th-century Scottish physician and chemist who became a leading medical teacher of the Scottish Enlightenment and helped shape modern clinical and chemical education.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2b737788190bfadd0d48ad38f5b completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f8444c48819095100c6d1d45ccc7 completed April 9, 2026, 12:52 a.m.
Created at: April 6, 2026, 11:40 a.m.