Triple

T15731530
Position Surface form Disambiguated ID Type / Status
Subject George Brett E381356 entity
Predicate givenName P17 FINISHED
Object George
George is the given name of George Brett, the Hall of Fame Major League Baseball third baseman best known for his long career with the Kansas City Royals.
 E381356 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: George | Statement: [George Brett, givenName, George]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: George
Context triple: [George Brett, givenName, George]
  • A. George
    George is the given first name of South African rugby union coach Kitch Christie, who led the Springboks to victory in the 1995 Rugby World Cup.
  • B. George
    George is the given first name of Pat Summerall, the famed American sportscaster and former NFL placekicker.
  • C. George
    George is the middle name of William George Barker, a renowned Canadian World War I flying ace and Victoria Cross recipient.
  • D. George
    George is the given name of George Ellery Hale, the influential American solar astronomer and founder of several major observatories.
  • E. George
    George is the given name of George Herbert, 5th Earl of Carnarvon, the British aristocrat who financed the excavation that uncovered Tutankhamun’s tomb.
  • 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: George
Triple: [George Brett, givenName, George]
Generated description
George is the given name of George Brett, the Hall of Fame Major League Baseball third baseman best known for his long career with the Kansas City Royals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: George
Target entity description: George is the given name of George Brett, the Hall of Fame Major League Baseball third baseman best known for his long career with the Kansas City Royals.
  • A. George chosen
    George is the given name of George Brett, the Hall of Fame Major League Baseball third baseman best known for his career with the Kansas City Royals.
  • B. George
    George is the first name of Hall of Fame baseball player Ken Griffey Jr., one of Major League Baseball’s most celebrated outfielders.
  • C. George
    George is the birth name of the legendary American baseball player Babe Ruth, one of the sport’s most iconic figures.
  • D. George
    George is the given first name of American Major League Baseball pitcher Lefty Tyler, who played in the early 20th century.
  • E. George
    George is the given first name of Pat Summerall, the famed American sportscaster and former NFL placekicker.
  • F. None of above.

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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb61cb881908b158609c1ccfa1e completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff9092e25c81909f86a580e78ff7ca completed May 9, 2026, 7:52 p.m.
NEDg Description generation batch_69ff9277dc2881908fe0cd70e3d61f3f completed May 9, 2026, 8 p.m.
NED2 Entity disambiguation (via description) batch_69ff93745f508190927b79a5debead12 completed May 9, 2026, 8:05 p.m.
Created at: April 10, 2026, 4:46 a.m.