Triple

T12587713
Position Surface form Disambiguated ID Type / Status
Subject Arkansas Razorbacks baseball E300510 entity
Predicate hasNotableAlumni P51 FINISHED
Object Jeff King
Jeff King is a former American professional baseball player and infielder who played in Major League Baseball during the late 1980s and 1990s, primarily for the Pittsburgh Pirates and Kansas City Royals.
E992701 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: Jeff King | Statement: [Arkansas Razorbacks baseball, hasNotableAlumni, Jeff King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff King
Context triple: [Arkansas Razorbacks baseball, hasNotableAlumni, Jeff King]
  • A. Jeff King
    Jeff King is a television producer and writer known for his work on various drama series.
  • B. Dave King
    Dave King was an English comedian, singer, and character actor known for his work in film and television from the 1950s onward.
  • C. Ken King
    Ken King is an actor known for his role in the film "Jade."
  • D. Ken King
    Ken King is a notable individual who bears the surname King, recognized for his public prominence in his respective field.
  • E. David King
    David King is the named lead plaintiff in the landmark U.S. Supreme Court case King v. Burwell, which challenged federal health insurance subsidies under the Affordable Care Act.
  • 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: Jeff King
Triple: [Arkansas Razorbacks baseball, hasNotableAlumni, Jeff King]
Generated description
Jeff King is a former American professional baseball player and infielder who played in Major League Baseball during the late 1980s and 1990s, primarily for the Pittsburgh Pirates and Kansas City Royals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jeff King
Target entity description: Jeff King is a former American professional baseball player and infielder who played in Major League Baseball during the late 1980s and 1990s, primarily for the Pittsburgh Pirates and Kansas City Royals.
  • A. Jeff King
    Jeff King is a television producer and writer known for his work on various drama series.
  • B. Dave King
    Dave King was an English comedian, singer, and character actor known for his work in film and television from the 1950s onward.
  • C. Ken King
    Ken King is an actor known for his role in the film "Jade."
  • D. Ken King
    Ken King is a notable individual who bears the surname King, recognized for his public prominence in his respective field.
  • E. David King
    David King is the named lead plaintiff in the landmark U.S. Supreme Court case King v. Burwell, which challenged federal health insurance subsidies under the Affordable Care Act.
  • 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_69d7bde87b648190bcd0266e9efde098 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d954bbe72c8190aa11090bb6b480c9 completed April 10, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ebed164819083fbdaa775a59cd4 completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f66088890c8190b67a958d7f0822a6 completed May 2, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_69f6613ce1108190851cf8491fe666c8 completed May 2, 2026, 8:40 p.m.
Created at: April 9, 2026, 5:05 p.m.