Triple

T22985716
Position Surface form Disambiguated ID Type / Status
Subject Edward Cheserek E571600 entity
Predicate familyName P18 FINISHED
Object Cheserek
Cheserek is the surname of Edward Cheserek, a prominent Kenyan-born long-distance runner and multiple NCAA champion.
E1565308 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: Cheserek | Statement: [Edward Cheserek, familyName, Cheserek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cheserek
Context triple: [Edward Cheserek, familyName, Cheserek]
  • A. Chizik
    Chizik is the surname of Gene Chizik, an American football coach best known for leading Auburn University to a national championship in the 2010 season.
  • B. Cheevers
    Cheevers is the surname of Gerry Cheevers, a Hall of Fame Canadian ice hockey goaltender best known for his time with the Boston Bruins.
  • C. Chone
    Chone is a city in coastal Ecuador known for its agricultural economy and frequent flooding, located in the Manabí Province.
  • D. Shorsey
    Shorsey is a Canadian comedy television series, created by and starring Jared Keeso, that follows the foul-mouthed hockey player Shorsey as he joins a struggling senior AAA team in Sudbury, Ontario.
  • E. Keefer
    Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • 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: Cheserek
Triple: [Edward Cheserek, familyName, Cheserek]
Generated description
Cheserek is the surname of Edward Cheserek, a prominent Kenyan-born long-distance runner and multiple NCAA champion.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cheserek
Target entity description: Cheserek is the surname of Edward Cheserek, a prominent Kenyan-born long-distance runner and multiple NCAA champion.
  • A. Chizik
    Chizik is the surname of Gene Chizik, an American football coach best known for leading Auburn University to a national championship in the 2010 season.
  • B. Cheevers
    Cheevers is the surname of Gerry Cheevers, a Hall of Fame Canadian ice hockey goaltender best known for his time with the Boston Bruins.
  • C. Chone
    Chone is a city in coastal Ecuador known for its agricultural economy and frequent flooding, located in the Manabí Province.
  • D. Shorsey
    Shorsey is a Canadian comedy television series, created by and starring Jared Keeso, that follows the foul-mouthed hockey player Shorsey as he joins a struggling senior AAA team in Sudbury, Ontario.
  • E. Keefer
    Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
  • 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_69e245b3c50481908bb3741ec9f40862 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182996ee08190ab74014ee7ecac2b completed April 29, 2026, 4:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bd376fff08190b35d33b0db8f2e8a completed May 19, 2026, 3:05 a.m.
NEDg Description generation batch_6a0bd7f95c208190ae836554fbb958a2 completed May 19, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_6a0bd8a2c470819081fbbc871391215e completed May 19, 2026, 3:27 a.m.
Created at: April 17, 2026, 3:49 p.m.