Triple

T12535471
Position Surface form Disambiguated ID Type / Status
Subject Auburn Tigers men's basketball E299677 entity
Predicate notablePlayer P304 FINISHED
Object Walker Kessler
Walker Kessler is an American professional basketball center known for his elite shot-blocking and rebounding, who starred in college at Auburn before entering the NBA.
E989411 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: Walker Kessler | Statement: [Auburn Tigers men's basketball, notablePlayer, Walker Kessler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walker Kessler
Context triple: [Auburn Tigers men's basketball, notablePlayer, Walker Kessler]
  • A. Jordan Kerner
    Jordan Kerner is an American film and television producer known for projects such as "Less Than Zero" and the live-action "The Smurfs" films.
  • B. Kyle Walters
    Kyle Walters is a Canadian football executive and former player best known as the general manager of the Winnipeg Blue Bombers in the CFL.
  • C. Danny Wagner
    Danny Wagner is the drummer for the American rock band Greta Van Fleet.
  • D. Alex Walker
    Alex Walker is known as one of the children of American politician Scott Walker, the former governor of Wisconsin.
  • E. Alex Datcher
    Alex Datcher is an American actress best known for her role as a flight attendant alongside Wesley Snipes in the 1992 action film "Passenger 57."
  • 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: Walker Kessler
Triple: [Auburn Tigers men's basketball, notablePlayer, Walker Kessler]
Generated description
Walker Kessler is an American professional basketball center known for his elite shot-blocking and rebounding, who starred in college at Auburn before entering the NBA.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Walker Kessler
Target entity description: Walker Kessler is an American professional basketball center known for his elite shot-blocking and rebounding, who starred in college at Auburn before entering the NBA.
  • A. Jordan Kerner
    Jordan Kerner is an American film and television producer known for projects such as "Less Than Zero" and the live-action "The Smurfs" films.
  • B. Kyle Walters
    Kyle Walters is a Canadian football executive and former player best known as the general manager of the Winnipeg Blue Bombers in the CFL.
  • C. Danny Wagner
    Danny Wagner is the drummer for the American rock band Greta Van Fleet.
  • D. Alex Walker
    Alex Walker is known as one of the children of American politician Scott Walker, the former governor of Wisconsin.
  • E. Alex Datcher
    Alex Datcher is an American actress best known for her role as a flight attendant alongside Wesley Snipes in the 1992 action film "Passenger 57."
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546d3b2081908d3e0659f8f13678 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65577e3388190b6c1c2e8dee7f6ac completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6566e7bf88190a33c609caf9b4f3d completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f657b1b13c8190984300f24c0b2083 completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:57 p.m.