Triple

T2058714
Position Surface form Disambiguated ID Type / Status
Subject Checkers speech E45736 entity
Predicate namedAfter P63 FINISHED
Object Checkers (dog)
Checkers was Richard Nixon’s cocker spaniel, famously referenced in his 1952 “Checkers speech” that helped shape his political image.
 E228315 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: Checkers (dog) | Statement: [Checkers speech, namedAfter, Checkers (dog)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Checkers (dog)
Context triple: [Checkers speech, namedAfter, Checkers (dog)]
  • A. Jack Golden Russell
    Jack Golden Russell is the creator of the original characters on which the film "Ocean's Thirteen" is based.
  • B. Rhett the Boston Terrier
    Rhett the Boston Terrier is the costumed canine mascot of Boston University, representing the school at athletic events and campus activities.
  • C. Buck
    Buck is a surname most prominently associated with American sportscaster Joe Buck, known for his play-by-play commentary on major baseball and football broadcasts.
  • D. Terry (dog)
    Terry was the female Cairn Terrier best known for playing Toto in the 1939 film adaptation of "The Wizard of Oz."
  • E. Barkley
    Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
  • 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: Checkers (dog)
Triple: [Checkers speech, namedAfter, Checkers (dog)]
Generated description
Checkers was Richard Nixon’s cocker spaniel, famously referenced in his 1952 “Checkers speech” that helped shape his political image.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Checkers (dog)
Target entity description: Checkers was Richard Nixon’s cocker spaniel, famously referenced in his 1952 “Checkers speech” that helped shape his political image.
  • A. Jack Golden Russell
    Jack Golden Russell is the creator of the original characters on which the film "Ocean's Thirteen" is based.
  • B. Rhett the Boston Terrier
    Rhett the Boston Terrier is the costumed canine mascot of Boston University, representing the school at athletic events and campus activities.
  • C. Buck
    Buck is a surname most prominently associated with American sportscaster Joe Buck, known for his play-by-play commentary on major baseball and football broadcasts.
  • D. Terry (dog)
    Terry was the female Cairn Terrier best known for playing Toto in the 1939 film adaptation of "The Wizard of Oz."
  • E. Barkley
    Barkley is a surname most notably associated with Alben W. Barkley, the 35th vice president of the United States under President Harry S. Truman.
  • 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_69a8891a19508190a12ef1e192308dcb completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb9af42988190a4e977154dd10312 completed March 7, 2026, 5:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2014da048190902b2a23574d34ef completed March 9, 2026, 1:19 a.m.
NEDg Description generation batch_69ae20dff3c48190943a913c63247537 completed March 9, 2026, 1:22 a.m.
NED2 Entity disambiguation (via description) batch_69ae21465d048190a1ee3a52c96ee37d completed March 9, 2026, 1:24 a.m.
Created at: March 4, 2026, 7:40 p.m.