Triple

T17052541
Position Surface form Disambiguated ID Type / Status
Subject John Bull E413734 entity
Predicate createdBy P806 FINISHED
Object John Arbuthnot E167081 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 Arbuthnot | Statement: [John Bull, createdBy, John Arbuthnot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Arbuthnot
Context triple: [John Bull, createdBy, John Arbuthnot]
  • A. John Arbuthnot chosen
    John Arbuthnot was an 18th-century Scottish physician, mathematician, and satirist closely associated with Jonathan Swift and Alexander Pope.
  • B. John Graunt
    John Graunt was a 17th-century English statistician and demographer, often regarded as a founder of population statistics for his pioneering analysis of mortality data in London.
  • C. John Warburton
    John Warburton was an 18th-century English antiquary and collector known for preserving and cataloguing rare manuscripts and historical documents.
  • D. John Warburton
    John Warburton was a British-born actor known for his supporting roles in Hollywood films during the 1930s and 1940s.
  • E. Dr. Richard Mead
    Dr. Richard Mead was a prominent early 18th-century English physician and scholar known for his influential work on public health and his association with leading literary and scientific figures of his time.
  • 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_69d886cde3d481908d4d01ba88ba7eb7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3daa3324881908d9e445ba1cfe109 completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012343eca0819086a07511c5d22878 completed May 11, 2026, 12:31 a.m.
Created at: April 10, 2026, 5:34 a.m.