Triple

T5177777
Position Surface form Disambiguated ID Type / Status
Subject Larry Doby E116842 entity
Predicate familyName P18 FINISHED
Object Doby
Doby is the surname of Larry Doby, the Hall of Fame baseball player who broke the American League color barrier.
E500030 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: Doby | Statement: [Larry Doby, familyName, Doby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doby
Context triple: [Larry Doby, familyName, Doby]
  • A. Dwighty
    Dwighty is a fan nickname for Dwight Fairfield, a nervous but resourceful survivor character from the horror game Dead by Daylight.
  • B. Gwynn
    Gwynn is the surname of Hall of Fame Major League Baseball right fielder Tony Gwynn, renowned for his exceptional hitting ability with the San Diego Padres.
  • C. Fielder Jones
    Fielder Jones was an early 20th-century Major League Baseball manager and outfielder best known for leading the Chicago White Sox to a championship in the dead-ball era.
  • D. Lefty O'Doul
    Lefty O'Doul was an American baseball player and manager renowned as one of the greatest hitters of his era and a key figure in popularizing baseball in Japan.
  • E. Jake Hoyt
    Jake Hoyt is a rookie LAPD narcotics officer whose moral integrity is tested during a tumultuous day under a corrupt veteran detective in the film "Training Day."
  • 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: Doby
Triple: [Larry Doby, familyName, Doby]
Generated description
Doby is the surname of Larry Doby, the Hall of Fame baseball player who broke the American League color barrier.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Doby
Target entity description: Doby is the surname of Larry Doby, the Hall of Fame baseball player who broke the American League color barrier.
  • A. Dwighty
    Dwighty is a fan nickname for Dwight Fairfield, a nervous but resourceful survivor character from the horror game Dead by Daylight.
  • B. Gwynn
    Gwynn is the surname of Hall of Fame Major League Baseball right fielder Tony Gwynn, renowned for his exceptional hitting ability with the San Diego Padres.
  • C. Fielder Jones
    Fielder Jones was an early 20th-century Major League Baseball manager and outfielder best known for leading the Chicago White Sox to a championship in the dead-ball era.
  • D. Lefty O'Doul
    Lefty O'Doul was an American baseball player and manager renowned as one of the greatest hitters of his era and a key figure in popularizing baseball in Japan.
  • E. Jake Hoyt
    Jake Hoyt is a rookie LAPD narcotics officer whose moral integrity is tested during a tumultuous day under a corrupt veteran detective in the film "Training Day."
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7976339481909ece900de22064f2 completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed95185ac819085fb42a69e014ec5 completed March 21, 2026, 5:45 p.m.
NEDg Description generation batch_69bedb0e6d248190b099c2b282efde19 completed March 21, 2026, 5:53 p.m.
NED2 Entity disambiguation (via description) batch_69bedb7c82d081908141c775cbed881e completed March 21, 2026, 5:55 p.m.
Created at: March 20, 2026, 1:45 p.m.