Triple

T20807089
Position Surface form Disambiguated ID Type / Status
Subject Finishing the Game E512191 entity
Predicate featuresCharacter P626 FINISHED
Object Cole Kim
Cole Kim is a character in the satirical 2007 mockumentary film "Finishing the Game," which humorously explores the casting search for a replacement for Bruce Lee after his death.
 E1451876 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: Cole Kim | Statement: [Finishing the Game, featuresCharacter, Cole Kim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cole Kim
Context triple: [Finishing the Game, featuresCharacter, Cole Kim]
  • A. Jung Kim
    Jung Kim is the charismatic and quick-witted convenience store manager and son in the Canadian sitcom "Kim's Convenience."
  • B. Alex Kim
    Alex Kim is an astrophysicist known for contributions to observational cosmology and dark energy research as part of the Supernova Cosmology Project.
  • C. Logan Kim
    Logan Kim is an American child actor best known for his role in the supernatural comedy film "Ghostbusters: Afterlife."
  • D. Taewan Kwan
    Taewan Kwan is a stage actor known for playing the character Lady Thiang in theatrical productions of "The King and I."
  • E. Jae Kwon
    Jae Kwon is a software engineer and entrepreneur best known as the co-founder and original architect of the Cosmos blockchain ecosystem.
  • 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: Cole Kim
Triple: [Finishing the Game, featuresCharacter, Cole Kim]
Generated description
Cole Kim is a character in the satirical 2007 mockumentary film "Finishing the Game," which humorously explores the casting search for a replacement for Bruce Lee after his death.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cole Kim
Target entity description: Cole Kim is a character in the satirical 2007 mockumentary film "Finishing the Game," which humorously explores the casting search for a replacement for Bruce Lee after his death.
  • A. Jung Kim
    Jung Kim is the charismatic and quick-witted convenience store manager and son in the Canadian sitcom "Kim's Convenience."
  • B. Alex Kim
    Alex Kim is an astrophysicist known for contributions to observational cosmology and dark energy research as part of the Supernova Cosmology Project.
  • C. Logan Kim
    Logan Kim is an American child actor best known for his role in the supernatural comedy film "Ghostbusters: Afterlife."
  • D. Taewan Kwan
    Taewan Kwan is a stage actor known for playing the character Lady Thiang in theatrical productions of "The King and I."
  • E. Jae Kwon
    Jae Kwon is a software engineer and entrepreneur best known as the co-founder and original architect of the Cosmos blockchain ecosystem.
  • 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_69e0b4cc69f481908e98751e697b9df4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c2cfdee481908e42a1a8940ea40c completed April 21, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a08f8c7221c81908cac8475577b5d5b completed May 16, 2026, 11:07 p.m.
NEDg Description generation batch_6a08fd4bda1c8190addc1204672686f8 completed May 16, 2026, 11:27 p.m.
NED2 Entity disambiguation (via description) batch_6a08fe0b586c8190a85bc0c39dd2072c completed May 16, 2026, 11:30 p.m.
Created at: April 16, 2026, 12:40 p.m.