Triple

T21056004
Position Surface form Disambiguated ID Type / Status
Subject John Farey Sr. E518712 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of John Farey Sr., an English geologist and mathematician known for his work on what is now called the Farey sequence in number theory.
E1464535 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 Farey Sr., givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [John Farey Sr., givenName, John]
  • A. John
    John is the given name of John Cockcroft, a pioneering British physicist and Nobel laureate known for his work on nuclear physics and particle acceleration.
  • B. John
    John is the given first name of Johnny Kilbane, an American featherweight boxing champion from the early 20th century.
  • C. John
    John is the given name of John Williams Walker, an early 19th-century American politician and U.S. Senator from Alabama.
  • D. John
    John is the given first name of the 19th-century English theologian and social reformer Frederick Denison Maurice.
  • E. John
    John Ross is a personal name shared by various notable individuals across history, including leaders, politicians, and public figures.
  • 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 Farey Sr., givenName, John]
Generated description
John is the given name of John Farey Sr., an English geologist and mathematician known for his work on what is now called the Farey sequence in number theory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of John Farey Sr., an English geologist and mathematician known for his work on what is now called the Farey sequence in number theory.
  • A. John
    John is the given name of the renowned British mathematician John H. Conway, known for his work in group theory, number theory, and the invention of the Game of Life.
  • B. John
    John is the given name of the Scottish mathematician and geologist John Playfair, known for his work on geometry and for popularizing James Hutton’s theories of geology.
  • C. John
    John is the given name of the British mathematician J. W. S. Cassels, known for his influential work in number theory and Diophantine approximation.
  • D. John
    John is the given name of the American mathematician John Tate, renowned for his foundational contributions to number theory and arithmetic geometry.
  • E. John
    John is the given name of Sir John Kingman, a prominent British mathematician and statistician known for his work in probability theory and population genetics.
  • 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd7fc5c48190bdc4d75ab6a529a3 completed April 21, 2026, 4:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09505fd1d0819098d8b390884e36db completed May 17, 2026, 5:21 a.m.
NEDg Description generation batch_6a09517954888190a2e20555afd95959 completed May 17, 2026, 5:26 a.m.
NED2 Entity disambiguation (via description) batch_6a095204ba6c8190aff8dbb3b4b537d4 completed May 17, 2026, 5:28 a.m.
Created at: April 16, 2026, 2:37 p.m.