Triple

T7226808
Position Surface form Disambiguated ID Type / Status
Subject The Good Doctor E154800 entity
Predicate executiveProducer P7225 FINISHED
Object David Kim
David Kim is a television producer best known for serving as an executive producer on the medical drama series "The Good Doctor."
 E650107 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: David Kim | Statement: [The Good Doctor, executiveProducer, David Kim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Kim
Context triple: [The Good Doctor, executiveProducer, David Kim]
  • A. Philip Ahn
    Philip Ahn was a pioneering Korean American actor in Hollywood, known for his numerous film and television roles from the 1930s through the 1970s.
  • B. Jung Kim
    Jung Kim is the charismatic and quick-witted convenience store manager and son in the Canadian sitcom "Kim's Convenience."
  • C. John Kim
    John Kim is a prominent mechanical engineer and researcher renowned for his pioneering work in computational fluid dynamics and turbulence modeling.
  • D. John Kim
    John Kim is an Australian actor best known for his role as Ezekiel Jones in the fantasy-adventure television series "The Librarians."
  • E. Kitack Lim
    Kitack Lim is a South Korean maritime administrator and diplomat who served as Secretary-General of the International Maritime Organization, the United Nations agency responsible for regulating global shipping.
  • 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: David Kim
Triple: [The Good Doctor, executiveProducer, David Kim]
Generated description
David Kim is a television producer best known for serving as an executive producer on the medical drama series "The Good Doctor."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Kim
Target entity description: David Kim is a television producer best known for serving as an executive producer on the medical drama series "The Good Doctor."
  • A. Philip Ahn
    Philip Ahn was a pioneering Korean American actor in Hollywood, known for his numerous film and television roles from the 1930s through the 1970s.
  • B. Jung Kim
    Jung Kim is the charismatic and quick-witted convenience store manager and son in the Canadian sitcom "Kim's Convenience."
  • C. John Kim
    John Kim is a prominent mechanical engineer and researcher renowned for his pioneering work in computational fluid dynamics and turbulence modeling.
  • D. John Kim
    John Kim is an Australian actor best known for his role as Ezekiel Jones in the fantasy-adventure television series "The Librarians."
  • E. Kitack Lim
    Kitack Lim is a South Korean maritime administrator and diplomat who served as Secretary-General of the International Maritime Organization, the United Nations agency responsible for regulating global shipping.
  • 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_69c68811dd1c8190ac460bb39e64e1f0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6e9de21e081908f30700f6211c5ef completed March 27, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc17a3788190842a852fb4b96185 completed March 28, 2026, 12:39 p.m.
NEDg Description generation batch_69c7cccdde308190a02c6892f61025e2 completed March 28, 2026, 12:42 p.m.
NED2 Entity disambiguation (via description) batch_69c7cd7e891c8190a6a82227addac434 completed March 28, 2026, 12:45 p.m.
Created at: March 27, 2026, 2:54 p.m.