Triple

T18620234
Position Surface form Disambiguated ID Type / Status
Subject John Widgery, Baron Widgery E455127 entity
Predicate givenName P17 FINISHED
Object John
John Widgery, Baron Widgery, was a British judge who served as Lord Chief Justice of England and Wales from 1971 to 1980.
E1333410 NE FINISHED

How this triple was built (4 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 | Statement: [John Widgery, Baron Widgery, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Widgery, Baron Widgery, givenName, John]
  • A. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • B. John
    John is the given first name of the 19th-century English theologian and social reformer Frederick Denison Maurice.
  • C. John
    John is the given name of John Eales, the renowned former Australian rugby union captain and World Cup winner.
  • D. John
    John is the given name of the English jurist and scholar John Selden, a prominent 17th-century authority on law and constitutional history.
  • E. John
    John is the given name of Sir John Coke, an English statesman who served as Secretary of State under King Charles I in the early 17th century.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: John
Triple: [John Widgery, Baron Widgery, givenName, John]
Generated description
John Widgery, Baron Widgery, was a British judge who served as Lord Chief Justice of England and Wales from 1971 to 1980.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John Widgery, Baron Widgery, was a British judge who served as Lord Chief Justice of England and Wales from 1971 to 1980.
  • A. John
    John is the given name of John Charles Bigham, 1st Viscount Mersey, a prominent British lawyer, judge, and politician known for chairing major maritime disaster inquiries in the early 20th century.
  • B. John
    John is the given name of John Copley, 1st Baron Lyndhurst, a prominent 19th-century British lawyer and Conservative politician who served three times as Lord Chancellor.
  • C. John
    John is the given name of John Copley, 1st Baron Lyndhurst, a prominent 19th-century British lawyer and politician who served three times as Lord Chancellor.
  • D. John
    John is the given name of Lord Eldon, a prominent British lawyer and politician who served as Lord Chancellor in the early 19th century.
  • E. John
    John is the given name of John Sharp, who served as the Archbishop of York in the Church of England during the late 17th and early 18th centuries.
  • F. None of above. chosen

Provenance (5 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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f00889c8190931f8d3fbabd531b completed April 19, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05037361208190acd4f49c77e5c34c completed May 13, 2026, 11:04 p.m.
NEDg Description generation batch_6a050455e6e8819084927b1c2d4a5237 completed May 13, 2026, 11:08 p.m.
NED2 Entity disambiguation (via description) batch_6a0505cbc11481908e61d90dd64f6212 completed May 13, 2026, 11:14 p.m.
Created at: April 10, 2026, 11:46 a.m.