Triple

T19767491
Position Surface form Disambiguated ID Type / Status
Subject Jesse Burkett E474795 entity
Predicate familyName P18 FINISHED
Object Burkett
Burkett is a surname most notably associated with Jesse Burkett, a Hall of Fame Major League Baseball outfielder from the late 19th and early 20th centuries.
 E1394819 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: Burkett | Statement: [Jesse Burkett, familyName, Burkett]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Burkett
Context triple: [Jesse Burkett, familyName, Burkett]
  • A. Burris
    Burris is a surname and given name, often considered a variant of "Burr," borne by various individuals across sports, politics, and entertainment.
  • B. Buckley
    Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
  • C. Buckley
    Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
  • D. Buckley
    Buckley is a small town in Flintshire, northeast Wales, known historically for its brickworks and coal mining industries.
  • E. Buckley Ware
    Buckley Ware is a charming yet dangerous character in "The Flight Attendant," known for his complicated romantic involvement with Cassie Bowden and his hidden, violent tendencies.
  • 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: Burkett
Triple: [Jesse Burkett, familyName, Burkett]
Generated description
Burkett is a surname most notably associated with Jesse Burkett, a Hall of Fame Major League Baseball outfielder from the late 19th and early 20th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Burkett
Target entity description: Burkett is a surname most notably associated with Jesse Burkett, a Hall of Fame Major League Baseball outfielder from the late 19th and early 20th centuries.
  • A. Burris
    Burris is a surname and given name, often considered a variant of "Burr," borne by various individuals across sports, politics, and entertainment.
  • B. Buckley
    Buckley is a surname most prominently associated with William F. Buckley Jr., the influential American conservative author and founder of National Review.
  • C. Buckley
    Buckley is a small city in Washington State known for its rural character and proximity to Mount Rainier.
  • D. Buckley
    Buckley is a small town in Flintshire, northeast Wales, known historically for its brickworks and coal mining industries.
  • E. Buckley Ware
    Buckley Ware is a charming yet dangerous character in "The Flight Attendant," known for his complicated romantic involvement with Cassie Bowden and his hidden, violent tendencies.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65358fc3c8190867fea2a2c4e7594 completed April 20, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07bd726d98819082ec25a5a38d57aa completed May 16, 2026, 12:42 a.m.
NEDg Description generation batch_6a07be450e608190a008095b0502b2d3 completed May 16, 2026, 12:45 a.m.
NED2 Entity disambiguation (via description) batch_6a07bed4c8d8819094fafce7eee69ee7 completed May 16, 2026, 12:48 a.m.
Created at: April 10, 2026, 1:48 p.m.