Triple

T14466302
Position Surface form Disambiguated ID Type / Status
Subject court of Queen Anne E358717 entity
Predicate significantPerson P643 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: [court of Queen Anne, significantPerson, John Arbuthnot]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John Arbuthnot
Context triple: [court of Queen Anne, significantPerson, 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Warburton was an 18th-century English antiquary and collector known for preserving and cataloguing rare manuscripts and historical documents.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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91f6d4c08190a12e9a5901ee3508 completed April 14, 2026, 7:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6499c7188190a79411b471cfa7d4 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.