Triple

T19322440
Position Surface form Disambiguated ID Type / Status
Subject Lady Lettice Boyle E483259 entity
Predicate spouse P13 FINISHED
Object Sir John Gage, 1st Baronet 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: Sir John Gage, 1st Baronet | Statement: [Lady Lettice Boyle, spouse, Sir John Gage, 1st Baronet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sir John Gage, 1st Baronet
Context triple: [Lady Lettice Boyle, spouse, Sir John Gage, 1st Baronet]
  • A. Sir William Gage, 2nd Baronet
    Sir William Gage, 2nd Baronet, was an English landowner and politician of the late 17th and early 18th centuries, known for his role in Sussex society and the Gage baronetcy.
  • B. Sir John Willison
    Sir John Willison was a prominent Canadian journalist and newspaper editor known for his influential role in early 20th-century political and public affairs.
  • C. Sir John Thomas
    Sir John Thomas is a distinguished British judge and legal figure who studied at Jesus College, Oxford.
  • D. Sir William Fettes
    Sir William Fettes was a 19th-century Scottish merchant and philanthropist whose wealth and bequest led to the creation of the prestigious Fettes College in Edinburgh.
  • E. Sir William Springett
    Sir William Springett was a 17th-century English Parliamentarian officer whose early death in the Civil War and devout legacy made him a notable ancestor within the prominent Springett family.
  • 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: Sir John Gage, 1st Baronet
Target entity description: Sir John Gage, 1st Baronet, was an English nobleman and landowner of the early 17th century, notable as the founder of the Gage baronetcy.
  • A. Sir William Gage, 2nd Baronet
    Sir William Gage, 2nd Baronet, was an English landowner and politician of the late 17th and early 18th centuries, known for his role in Sussex society and the Gage baronetcy.
  • B. Sir John Willison
    Sir John Willison was a prominent Canadian journalist and newspaper editor known for his influential role in early 20th-century political and public affairs.
  • C. Sir John Thomas
    Sir John Thomas is a distinguished British judge and legal figure who studied at Jesus College, Oxford.
  • D. Sir William Fettes
    Sir William Fettes was a 19th-century Scottish merchant and philanthropist whose wealth and bequest led to the creation of the prestigious Fettes College in Edinburgh.
  • E. Sir William Springett
    Sir William Springett was a 17th-century English Parliamentarian officer whose early death in the Civil War and devout legacy made him a notable ancestor within the prominent Springett family.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e60d8948948190b76a384041333509 completed April 20, 2026, 11:27 a.m.
Created at: April 10, 2026, 1:32 p.m.