Triple

T22219495
Position Surface form Disambiguated ID Type / Status
Subject Laurie Kenyon E549170 entity
Predicate hasRelative P367 FINISHED
Object Ted Kenyon
Ted Kenyon is a fictional character known as a close family member in Mary Higgins Clark’s suspense novel "All Around the Town."
 E1525154 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: Ted Kenyon | Statement: [Laurie Kenyon, hasRelative, Ted Kenyon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ted Kenyon
Context triple: [Laurie Kenyon, hasRelative, Ted Kenyon]
  • A. Curtis Kenyon
    Curtis Kenyon was a Hollywood screenwriter active during the early 20th century, known for contributing to several American films including the musical drama "Syncopation."
  • B. Larry Kenyon
    Larry Kenyon is a software engineer best known for his crucial work on performance optimization and system software for the early Apple Macintosh.
  • C. John Keeler
    John Keeler is a fictional U.S. President in the television series "24," succeeding David Palmer in the show's political storyline.
  • D. Ted Daughety
    Ted Daughety is an American physician and pulmonologist best known as the husband of Kansas Governor Laura Kelly.
  • E. Jim Clymer
    Jim Clymer is an American attorney and politician best known for his longtime leadership role in the Constitution Party of the United States.
  • 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: Ted Kenyon
Triple: [Laurie Kenyon, hasRelative, Ted Kenyon]
Generated description
Ted Kenyon is a fictional character known as a close family member in Mary Higgins Clark’s suspense novel "All Around the Town."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ted Kenyon
Target entity description: Ted Kenyon is a fictional character known as a close family member in Mary Higgins Clark’s suspense novel "All Around the Town."
  • A. Curtis Kenyon
    Curtis Kenyon was a Hollywood screenwriter active during the early 20th century, known for contributing to several American films including the musical drama "Syncopation."
  • B. Larry Kenyon
    Larry Kenyon is a software engineer best known for his crucial work on performance optimization and system software for the early Apple Macintosh.
  • C. John Keeler
    John Keeler is a fictional U.S. President in the television series "24," succeeding David Palmer in the show's political storyline.
  • D. Ted Daughety
    Ted Daughety is an American physician and pulmonologist best known as the husband of Kansas Governor Laura Kelly.
  • E. Jim Clymer
    Jim Clymer is an American attorney and politician best known for his longtime leadership role in the Constitution Party of the United States.
  • 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_69e11e403d6481909a94d0aaf157f6ef completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b8edd288190a49f10e009122057 completed April 28, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aae6d90fc8190a6ac75ea0ec0f7f1 completed May 18, 2026, 6:15 a.m.
NEDg Description generation batch_6a0aaf211d8481908e7c23e35e920e87 completed May 18, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab01b5cd48190bf67942798e4db45 completed May 18, 2026, 6:22 a.m.
Created at: April 16, 2026, 8:37 p.m.