Triple

T9465945
Position Surface form Disambiguated ID Type / Status
Subject Seth Meyers E228269 entity
Predicate parent P120 FINISHED
Object Larry Meyers
Larry Meyers is the father of comedian and television host Seth Meyers.
E801616 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: Larry Meyers | Statement: [Seth Meyers, parent, Larry Meyers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larry Meyers
Context triple: [Seth Meyers, parent, Larry Meyers]
  • A. Ray Meyer
    Ray Meyer was a Hall of Fame college basketball coach best known for transforming DePaul University into a national powerhouse during his long tenure.
  • B. Dave Meyers
    Dave Meyers is an acclaimed American music video director known for his visually inventive, high-profile collaborations with major pop and hip-hop artists.
  • C. Steve Meerson
    Steve Meerson is an American screenwriter best known for co-writing the science fiction film "Star Trek IV: The Voyage Home."
  • D. Mike Krieger
    Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
  • E. Kevin Myers
    Kevin Myers is a central character in the American Pie film series, known as one of the core group of friends navigating relationships and adulthood.
  • 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: Larry Meyers
Triple: [Seth Meyers, parent, Larry Meyers]
Generated description
Larry Meyers is the father of comedian and television host Seth Meyers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Larry Meyers
Target entity description: Larry Meyers is the father of comedian and television host Seth Meyers.
  • A. Ray Meyer
    Ray Meyer was a Hall of Fame college basketball coach best known for transforming DePaul University into a national powerhouse during his long tenure.
  • B. Dave Meyers
    Dave Meyers is an acclaimed American music video director known for his visually inventive, high-profile collaborations with major pop and hip-hop artists.
  • C. Steve Meerson
    Steve Meerson is an American screenwriter best known for co-writing the science fiction film "Star Trek IV: The Voyage Home."
  • D. Mike Krieger
    Mike Krieger is a Brazilian-American entrepreneur and software engineer best known as the co-founder and former CTO of the photo-sharing social media platform Instagram.
  • E. Kevin Myers
    Kevin Myers is a central character in the American Pie film series, known as one of the core group of friends navigating relationships and adulthood.
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fdc08f08190ad17de08d2c2eca2 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12ce6c7c88190825bf618f1f1f9b5 completed April 4, 2026, 3:23 p.m.
NEDg Description generation batch_69d12dd80308819099e01ef27e20a49e completed April 4, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69d12e2bf4188190aaf379e49444cb81 completed April 4, 2026, 3:28 p.m.
Created at: March 30, 2026, 7:53 p.m.