Triple

T9727263
Position Surface form Disambiguated ID Type / Status
Subject J.H. Taylor E235645 entity
Predicate givenName P17 FINISHED
Object John
John is the given name of the English professional golfer J.H. Taylor, one of the pioneers of modern golf.
E818601 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: [J.H. Taylor, givenName, John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John
Context triple: [J.H. Taylor, givenName, John]
  • A. John
    John is the nickname of John Riggins, a former American football running back best known for his Hall of Fame career with the Washington Redskins in the NFL.
  • B. John
    John is the given name of the American composer John Luther Adams, known for his works inspired by nature and environmental themes.
  • C. John
    John is the given name of John Adams, the prominent American minimalist and post-minimalist composer known for works like "Nixon in China" and "Short Ride in a Fast Machine."
  • D. John
    John is the given name of John Boyd-Carpenter, a prominent British Conservative politician who served in several senior government positions in the mid-20th century.
  • E. John
    John is the given name of actor John Cho, a Korean American performer known for roles in the "Harold & Kumar" films and the "Star Trek" reboot series.
  • 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: [J.H. Taylor, givenName, John]
Generated description
John is the given name of the English professional golfer J.H. Taylor, one of the pioneers of modern golf.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: John
Target entity description: John is the given name of the English professional golfer J.H. Taylor, one of the pioneers of modern golf.
  • A. John
    John is the given first name of the legendary American professional golfer Byron Nelson, one of the sport’s early great champions.
  • B. John
    John is the given name of John Edward Taylor, the 19th-century British publisher and founder of The Manchester Guardian newspaper.
  • C. John
    John is the first name of Jack Charlton, the famed English footballer and World Cup–winning defender.
  • D. John
    John is the given first name of English football legend Jackie Milburn, a prolific striker for Newcastle United in the mid-20th century.
  • E. John
    John is the given name of Sir John Fowler, a prominent 19th-century British civil engineer known for major railway and bridge projects such as the Forth Bridge.
  • 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_69ca84d0fad481909cdd45aa77416c48 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e7af544819090a8a1adec41943c completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1af8990608190a841c1fbdb22eb71 completed April 5, 2026, 12:40 a.m.
NEDg Description generation batch_69d1b08ba1f48190830852f9d60e3368 completed April 5, 2026, 12:44 a.m.
NED2 Entity disambiguation (via description) batch_69d1b124659481909e7a2ecaf01d8a50 completed April 5, 2026, 12:47 a.m.
Created at: March 30, 2026, 8:21 p.m.