Triple

T7560457
Position Surface form Disambiguated ID Type / Status
Subject Castle E178779 entity
Predicate hasCharacter P2308 FINISHED
Object Kevin Ryan
Kevin Ryan is a fictional NYPD detective and member of Richard Castle's investigative team on the television series "Castle."
E675264 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: Kevin Ryan | Statement: [Castle, hasCharacter, Kevin Ryan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kevin Ryan
Context triple: [Castle, hasCharacter, Kevin Ryan]
  • A. Kevin Ryan
    Kevin Ryan is an American entrepreneur and investor best known as the co-founder and former CEO of online advertising company DoubleClick and a prominent figure in New York’s tech scene.
  • B. Kevin Dowd
    Kevin Dowd is the brother of Pulitzer Prize–winning New York Times columnist Maureen Dowd.
  • C. Brian McMahan
    Brian McMahan is an American guitarist and vocalist best known as a founding member of the influential post-rock band Slint.
  • D. Andy Fickman
    Andy Fickman is an American film and television director known for family-friendly comedies and energetic, commercially successful studio movies.
  • E. Glenn Shadix
    Glenn Shadix was an American character actor best known for his eccentric roles in films like "Beetlejuice" and various voice performances in animated works.
  • 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: Kevin Ryan
Triple: [Castle, hasCharacter, Kevin Ryan]
Generated description
Kevin Ryan is a fictional NYPD detective and member of Richard Castle's investigative team on the television series "Castle."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kevin Ryan
Target entity description: Kevin Ryan is a fictional NYPD detective and member of Richard Castle's investigative team on the television series "Castle."
  • A. Kevin Ryan
    Kevin Ryan is an American entrepreneur and investor best known as the co-founder and former CEO of online advertising company DoubleClick and a prominent figure in New York’s tech scene.
  • B. Kevin Dowd
    Kevin Dowd is the brother of Pulitzer Prize–winning New York Times columnist Maureen Dowd.
  • C. Brian McMahan
    Brian McMahan is an American guitarist and vocalist best known as a founding member of the influential post-rock band Slint.
  • D. Andy Fickman
    Andy Fickman is an American film and television director known for family-friendly comedies and energetic, commercially successful studio movies.
  • E. Glenn Shadix
    Glenn Shadix was an American character actor best known for his eccentric roles in films like "Beetlejuice" and various voice performances in animated works.
  • 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_69c69f2f80288190b95cceb4da92ab2b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8dd96488190b4cca25ae8f7f95c completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c861579b048190a67f33cb87791e8b completed March 28, 2026, 11:16 p.m.
NEDg Description generation batch_69c862b3cb3881908e6ecfa9bae7d044 completed March 28, 2026, 11:22 p.m.
NED2 Entity disambiguation (via description) batch_69c86358a60c81909d7b313a72ba3130 completed March 28, 2026, 11:25 p.m.
Created at: March 27, 2026, 3:50 p.m.