Triple

T9087959
Position Surface form Disambiguated ID Type / Status
Subject Chung Chung-hoon E217805 entity
Predicate workedWith P398 FINISHED
Object Jason Kim
Jason Kim is a film industry professional known for collaborating with acclaimed South Korean cinematographer Chung Chung-hoon.
 E777478 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: Jason Kim | Statement: [Chung Chung-hoon, workedWith, Jason Kim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jason Kim
Context triple: [Chung Chung-hoon, workedWith, Jason Kim]
  • A. Lane Kim
    Lane Kim is a music-obsessed, rebellious yet dutiful Korean American teenager and Rory Gilmore’s best friend in the television series "Gilmore Girls."
  • B. Jung Kim
    Jung Kim is the charismatic and quick-witted convenience store manager and son in the Canadian sitcom "Kim's Convenience."
  • C. Andy Kim
    Andy Kim is a Democratic U.S. Representative from New Jersey known for his focus on national security, government ethics, and constituent services.
  • D. David Kim
    David Kim is a television producer best known for serving as an executive producer on the medical drama series "The Good Doctor."
  • E. 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.
  • 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: Jason Kim
Triple: [Chung Chung-hoon, workedWith, Jason Kim]
Generated description
Jason Kim is a film industry professional known for collaborating with acclaimed South Korean cinematographer Chung Chung-hoon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jason Kim
Target entity description: Jason Kim is a film industry professional known for collaborating with acclaimed South Korean cinematographer Chung Chung-hoon.
  • A. Lane Kim
    Lane Kim is a music-obsessed, rebellious yet dutiful Korean American teenager and Rory Gilmore’s best friend in the television series "Gilmore Girls."
  • B. Jung Kim
    Jung Kim is the charismatic and quick-witted convenience store manager and son in the Canadian sitcom "Kim's Convenience."
  • C. Andy Kim
    Andy Kim is a Democratic U.S. Representative from New Jersey known for his focus on national security, government ethics, and constituent services.
  • D. David Kim
    David Kim is a television producer best known for serving as an executive producer on the medical drama series "The Good Doctor."
  • E. 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.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc965646408190b041ab0e2d5dbc94 completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017d500988190a6abf633f2226858 completed April 3, 2026, 7:41 p.m.
NEDg Description generation batch_69d01963aac881909a4890948f7b7c1c completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d019f55a6c8190b7065c0dcb5bb1d9 completed April 3, 2026, 7:50 p.m.
Created at: March 30, 2026, 7:13 p.m.