Triple

T17887786
Position Surface form Disambiguated ID Type / Status
Subject Checkmate E447239 entity
Predicate createdBy P806 FINISHED
Object Steve Erwin
Steve Erwin is a creator best known for developing the work titled "Checkmate."
E1293598 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: Steve Erwin | Statement: [Checkmate, createdBy, Steve Erwin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Steve Erwin
Context triple: [Checkmate, createdBy, Steve Erwin]
  • A. Greg Erwin
    Greg Erwin is an American NASCAR crew chief best known for leading top Cup Series teams and working with prominent drivers such as Greg Biffle.
  • B. Ken Reeves
    Ken Reeves is the fictional former professional basketball player who becomes a high school coach in the television drama series "The White Shadow."
  • C. Clark Peterson
    Clark Peterson is a film producer best known for his work on the Academy Award–winning biographical drama "Monster" (2003).
  • D. Roger Reeves
    Roger Reeves is an American worker best known as the plaintiff in the landmark U.S. Supreme Court age discrimination case Reeves v. Sanderson Plumbing Products, Inc.
  • E. Jeff Hammond
    Jeff Hammond is an American former NASCAR crew chief and current racing commentator known for his work with driver Darrell Waltrip and his television analysis of stock car racing.
  • 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: Steve Erwin
Triple: [Checkmate, createdBy, Steve Erwin]
Generated description
Steve Erwin is a creator best known for developing the work titled "Checkmate."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Steve Erwin
Target entity description: Steve Erwin is a creator best known for developing the work titled "Checkmate."
  • A. Greg Erwin
    Greg Erwin is an American NASCAR crew chief best known for leading top Cup Series teams and working with prominent drivers such as Greg Biffle.
  • B. Ken Reeves
    Ken Reeves is the fictional former professional basketball player who becomes a high school coach in the television drama series "The White Shadow."
  • C. Clark Peterson
    Clark Peterson is a film producer best known for his work on the Academy Award–winning biographical drama "Monster" (2003).
  • D. Roger Reeves
    Roger Reeves is an American worker best known as the plaintiff in the landmark U.S. Supreme Court age discrimination case Reeves v. Sanderson Plumbing Products, Inc.
  • E. Jeff Hammond
    Jeff Hammond is an American former NASCAR crew chief and current racing commentator known for his work with driver Darrell Waltrip and his television analysis of stock car racing.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c14c4348190bb77712d9eae1d51 completed April 19, 2026, 9:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0313dd15d481909d0d539817d11340 completed May 12, 2026, 11:49 a.m.
NEDg Description generation batch_6a031485c3908190a8fe49068d45e910 completed May 12, 2026, 11:52 a.m.
NED2 Entity disambiguation (via description) batch_6a03151de8408190a4c8bc30f5606951 completed May 12, 2026, 11:55 a.m.
Created at: April 10, 2026, 10:18 a.m.