Triple

T8450930
Position Surface form Disambiguated ID Type / Status
Subject Okja E199795 entity
Predicate producer P490 FINISHED
Object Lewis Taewan Kim
Lewis Taewan Kim is a film producer best known for his work on the critically acclaimed fantasy drama film "Okja."
 E737527 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: Lewis Taewan Kim | Statement: [Okja, producer, Lewis Taewan Kim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lewis Taewan Kim
Context triple: [Okja, producer, Lewis Taewan Kim]
  • A. Il-woo Jung
    Il-woo Jung is a Korean individual notable enough to be recognized as a prominent bearer of the surname Jung.
  • B. Byung-hun Lee
    Byung-hun Lee is a prominent South Korean actor known internationally for his roles in both Korean cinema and Hollywood films, including major action and thriller productions.
  • C. Yong-joon Jung
    Yong-joon Jung is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Jung.
  • D. 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."
  • E. Lee Tae-hun
    Lee Tae-hun is a South Korean film producer known for his work on the international release of the science fiction thriller "Snowpiercer."
  • 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: Lewis Taewan Kim
Triple: [Okja, producer, Lewis Taewan Kim]
Generated description
Lewis Taewan Kim is a film producer best known for his work on the critically acclaimed fantasy drama film "Okja."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lewis Taewan Kim
Target entity description: Lewis Taewan Kim is a film producer best known for his work on the critically acclaimed fantasy drama film "Okja."
  • A. Il-woo Jung
    Il-woo Jung is a Korean individual notable enough to be recognized as a prominent bearer of the surname Jung.
  • B. Byung-hun Lee
    Byung-hun Lee is a prominent South Korean actor known internationally for his roles in both Korean cinema and Hollywood films, including major action and thriller productions.
  • C. Yong-joon Jung
    Yong-joon Jung is a notable individual recognized for achievements significant enough to be distinctly associated with the surname Jung.
  • D. 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."
  • E. Lee Tae-hun
    Lee Tae-hun is a South Korean film producer known for his work on the international release of the science fiction thriller "Snowpiercer."
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44815488190a912d63512e19af0 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39c11a488190b7775002e419eee7 completed April 2, 2026, 9:41 a.m.
NEDg Description generation batch_69ce3e82e57c81909b95577bd54616ff completed April 2, 2026, 10:01 a.m.
NED2 Entity disambiguation (via description) batch_69ce3ef732748190a4c0beabc1cbfad7 completed April 2, 2026, 10:03 a.m.
Created at: March 30, 2026, 6:09 p.m.