Triple

T5751930
Position Surface form Disambiguated ID Type / Status
Subject Simu Liu E126872 entity
Predicate portrayed P1668 FINISHED
Object Jung Kim
Jung Kim is the charismatic and quick-witted convenience store manager and son in the Canadian sitcom "Kim's Convenience."
 E551209 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: Jung Kim | Statement: [Simu Liu, portrayed, Jung Kim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jung Kim
Context triple: [Simu Liu, portrayed, Jung Kim]
  • A. Woo-sung Jung
    Woo-sung Jung is a prominent South Korean actor and film producer known for his leading roles in action and drama films such as "Beat," "The Good, the Bad, the Weird," and "Steel Rain."
  • B. Yong-taek Jung
    Yong-taek Jung is a notable individual recognized for bearing the Korean surname Jung.
  • C. Sung-kyu Jung
    Sung-kyu Jung is a notable individual recognized as a prominent bearer of the Korean surname Jung.
  • D. Yong-gi Jung
    Yong-gi Jung is a notable individual recognized as a prominent bearer of the Korean surname Jung.
  • E. Shin Young-soo
    Shin Young-soo is a South Korean physician and public health expert who served as the World Health Organization’s Regional Director for the Western Pacific.
  • 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: Jung Kim
Triple: [Simu Liu, portrayed, Jung Kim]
Generated description
Jung Kim is the charismatic and quick-witted convenience store manager and son in the Canadian sitcom "Kim's Convenience."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jung Kim
Target entity description: Jung Kim is the charismatic and quick-witted convenience store manager and son in the Canadian sitcom "Kim's Convenience."
  • A. Woo-sung Jung
    Woo-sung Jung is a prominent South Korean actor and film producer known for his leading roles in action and drama films such as "Beat," "The Good, the Bad, the Weird," and "Steel Rain."
  • B. Yong-taek Jung
    Yong-taek Jung is a notable individual recognized for bearing the Korean surname Jung.
  • C. Sung-kyu Jung
    Sung-kyu Jung is a notable individual recognized as a prominent bearer of the Korean surname Jung.
  • D. Yong-gi Jung
    Yong-gi Jung is a notable individual recognized as a prominent bearer of the Korean surname Jung.
  • E. Shin Young-soo
    Shin Young-soo is a South Korean physician and public health expert who served as the World Health Organization’s Regional Director for the Western Pacific.
  • 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_69c00832aedc81909899801b141fa3b4 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0288b580c81909e1289982b106695 completed March 22, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a167f2508190a8dd507f237e771b completed March 23, 2026, 2:11 a.m.
NEDg Description generation batch_69c0a2463cb08190aa5976ebd62c30d6 completed March 23, 2026, 2:15 a.m.
NED2 Entity disambiguation (via description) batch_69c0a2afcef88190a77c8089a1b85393 completed March 23, 2026, 2:17 a.m.
Created at: March 22, 2026, 3:48 p.m.