Triple

T10323898
Position Surface form Disambiguated ID Type / Status
Subject Steven Yeun E242709 entity
Predicate nativeName P15 FINISHED
Object 연상엽
연상엽은 미국 드라마 ‘워킹 데드’와 영화 ‘미나리’, ‘노프’ 등으로 잘 알려진 한국계 미국인 배우 스티븐 연의 한국 이름이다.
 E857061 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: 연상엽 | Statement: [Steven Yeun, nativeName, 연상엽]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 연상엽
Context triple: [Steven Yeun, nativeName, 연상엽]
  • A. Suh Yun-bok
    Suh Yun-bok was a South Korean long-distance runner best known for winning the 1947 Boston Marathon and later serving as a symbolic sports figure in Korea.
  • B. Byun Hee-bong
    Byun Hee-bong was a renowned South Korean actor celebrated for his versatile performances in film and television, including frequent collaborations with director Bong Joon-ho.
  • C. Jeong Hyeong-don
    Jeong Hyeong-don is a South Korean comedian and television host best known for his work on popular variety shows such as "Infinite Challenge" and "Weekly Idol."
  • D. O Yeong-su
    O Yeong-su is a veteran South Korean actor best known internationally for his acclaimed performance as the elderly contestant Oh Il-nam in the Netflix series "Squid Game."
  • E. Won In-choul
    Won In-choul is a South Korean Air Force general who served as the country’s Chairman of the Joint Chiefs of Staff.
  • 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: 연상엽
Triple: [Steven Yeun, nativeName, 연상엽]
Generated description
연상엽은 미국 드라마 ‘워킹 데드’와 영화 ‘미나리’, ‘노프’ 등으로 잘 알려진 한국계 미국인 배우 스티븐 연의 한국 이름이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 연상엽
Target entity description: 연상엽은 미국 드라마 ‘워킹 데드’와 영화 ‘미나리’, ‘노프’ 등으로 잘 알려진 한국계 미국인 배우 스티븐 연의 한국 이름이다.
  • A. Suh Yun-bok
    Suh Yun-bok was a South Korean long-distance runner best known for winning the 1947 Boston Marathon and later serving as a symbolic sports figure in Korea.
  • B. Byun Hee-bong
    Byun Hee-bong was a renowned South Korean actor celebrated for his versatile performances in film and television, including frequent collaborations with director Bong Joon-ho.
  • C. Jeong Hyeong-don
    Jeong Hyeong-don is a South Korean comedian and television host best known for his work on popular variety shows such as "Infinite Challenge" and "Weekly Idol."
  • D. O Yeong-su
    O Yeong-su is a veteran South Korean actor best known internationally for his acclaimed performance as the elderly contestant Oh Il-nam in the Netflix series "Squid Game."
  • E. Won In-choul
    Won In-choul is a South Korean Air Force general who served as the country’s Chairman of the Joint Chiefs of Staff.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d6ce683c8190bf5385dd04bf2de8 completed April 7, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7503f3df88190bc5acb5e5295f787 completed April 9, 2026, 7:07 a.m.
NEDg Description generation batch_69d7516a4d088190b3e3b86956b6b821 completed April 9, 2026, 7:12 a.m.
NED2 Entity disambiguation (via description) batch_69d75200eecc819094e261c9fa7c75f5 completed April 9, 2026, 7:15 a.m.
Created at: April 6, 2026, 11:51 a.m.