Triple

T22059033
Position Surface form Disambiguated ID Type / Status
Subject Robert Yates E545101 entity
Predicate child P120 FINISHED
Object Doug Yates
Doug Yates is an American auto racing executive and engine builder best known for leading Roush Yates Engines in NASCAR.
E1517048 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: Doug Yates | Statement: [Robert Yates, child, Doug Yates]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doug Yates
Context triple: [Robert Yates, child, Doug Yates]
  • A. Kevin McAleenan
    Kevin McAleenan is an American attorney and government official who served as acting U.S. Secretary of Homeland Security and previously led U.S. Customs and Border Protection.
  • B. Chris McKay
    Chris McKay is an American filmmaker and animator best known for his work directing and editing acclaimed animated comedies such as The Lego Batman Movie.
  • C. Wes Ball
    Wes Ball is an American film director best known for helming the Maze Runner science-fiction film series.
  • D. Mike Park
    Mike Park is an American musician, record label owner, and activist best known for his work in the ska and punk scenes and for promoting Asian-American representation in music.
  • E. John Hamburg
    John Hamburg is an American screenwriter and director best known for his work on hit comedy films such as "Meet the Parents," "Along Came Polly," and "I Love You, Man."
  • 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: Doug Yates
Triple: [Robert Yates, child, Doug Yates]
Generated description
Doug Yates is an American auto racing executive and engine builder best known for leading Roush Yates Engines in NASCAR.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Doug Yates
Target entity description: Doug Yates is an American auto racing executive and engine builder best known for leading Roush Yates Engines in NASCAR.
  • A. Kevin McAleenan
    Kevin McAleenan is an American attorney and government official who served as acting U.S. Secretary of Homeland Security and previously led U.S. Customs and Border Protection.
  • B. Chris McKay
    Chris McKay is an American filmmaker and animator best known for his work directing and editing acclaimed animated comedies such as The Lego Batman Movie.
  • C. Wes Ball
    Wes Ball is an American film director best known for helming the Maze Runner science-fiction film series.
  • D. Mike Park
    Mike Park is an American musician, record label owner, and activist best known for his work in the ska and punk scenes and for promoting Asian-American representation in music.
  • E. John Hamburg
    John Hamburg is an American screenwriter and director best known for his work on hit comedy films such as "Meet the Parents," "Along Came Polly," and "I Love You, Man."
  • 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_69e11e3377c48190890c17407b9527d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285ac9608190ab4f89d4ee7350d0 completed April 28, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a80a92ee081909d5119a99d83e064 completed May 18, 2026, 2:59 a.m.
NEDg Description generation batch_6a0a8187516481909d8075dfc025614e completed May 18, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_6a0a826075988190a7148ded16f779c0 completed May 18, 2026, 3:07 a.m.
Created at: April 16, 2026, 8:27 p.m.