Triple

T20452142
Position Surface form Disambiguated ID Type / Status
Subject Sir John Thomas E501680 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of Sir John Thomas, a British judge who has served as Lord Chief Justice of England and Wales.
E1430922 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: [Sir John Thomas, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [Sir John Thomas, 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 first name of the American Old West outlaw and gunfighter Johnny Ringo.
  • E. John
    John is the given name of American novelist and historical fiction writer John Jakes, best known for his sprawling family sagas set during pivotal periods of U.S. history.
  • 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: [Sir John Thomas, givenName, John]
Generated description
John is the given name of Sir John Thomas, a British judge who has served as Lord Chief Justice of England and Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of Sir John Thomas, a British judge who has served as Lord Chief Justice of England and Wales.
  • A. 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.
  • B. 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.
  • C. John
    John is the given name of John G. Roberts Jr., the Chief Justice of the United States Supreme Court.
  • D. 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.
  • E. 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.
  • 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_69e0b4ac0a1c81908845d0f8a56abce8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e68d0296ac819081e74c67d3cc6349 completed April 20, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0883fd1af88190a34aef615ec3a23e completed May 16, 2026, 2:49 p.m.
NEDg Description generation batch_6a0884d316148190b1fe155fc2dfbb7b completed May 16, 2026, 2:53 p.m.
NED2 Entity disambiguation (via description) batch_6a088565cbcc81909b4bbc286d272ef6 completed May 16, 2026, 2:55 p.m.
Created at: April 16, 2026, 11:32 a.m.