Triple

T22209650
Position Surface form Disambiguated ID Type / Status
Subject Kim Ki-duk E548906 entity
Predicate nativeName P15 FINISHED
Object 김기덕
김기덕은 인간의 폭력성과 사회의 어두운 이면을 거칠고 논쟁적인 방식으로 다룬 작품들로 국제적인 주목을 받은 대한민국 영화 감독이다.
 E1527579 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: 김기덕 | Statement: [Kim Ki-duk, nativeName, 김기덕]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 김기덕
Context triple: [Kim Ki-duk, nativeName, 김기덕]
  • A. Chung Mong-koo
    Chung Mong-koo is a South Korean businessman best known as the longtime chairman who transformed Hyundai Motor Group into one of the world’s largest automotive manufacturers.
  • B. Kang Cheol
    Kang Cheol is the younger brother of Kang Sae-byeok, a North Korean defector character in the South Korean series "Squid Game."
  • C. Kim Gwan-ui
    Kim Gwan-ui was a historical scholar and official of Korea’s Goryeo dynasty who contributed to the compilation of the Samguk Sagi, one of the oldest surviving chronicles of Korea’s Three Kingdoms.
  • D. Hong Kyeong-pyo
    Hong Kyeong-pyo is a South Korean cinematographer renowned for his visually striking work on acclaimed films such as "Parasite," "Burning," and "Snowpiercer."
  • E. Sung Dong-il
    Sung Dong-il is a veteran South Korean actor known for his versatile supporting and character roles across popular films and television dramas.
  • 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: 김기덕
Triple: [Kim Ki-duk, nativeName, 김기덕]
Generated description
김기덕은 인간의 폭력성과 사회의 어두운 이면을 거칠고 논쟁적인 방식으로 다룬 작품들로 국제적인 주목을 받은 대한민국 영화 감독이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 김기덕
Target entity description: 김기덕은 인간의 폭력성과 사회의 어두운 이면을 거칠고 논쟁적인 방식으로 다룬 작품들로 국제적인 주목을 받은 대한민국 영화 감독이다.
  • A. Chung Mong-koo
    Chung Mong-koo is a South Korean businessman best known as the longtime chairman who transformed Hyundai Motor Group into one of the world’s largest automotive manufacturers.
  • B. Kang Cheol
    Kang Cheol is the younger brother of Kang Sae-byeok, a North Korean defector character in the South Korean series "Squid Game."
  • C. Kim Gwan-ui
    Kim Gwan-ui was a historical scholar and official of Korea’s Goryeo dynasty who contributed to the compilation of the Samguk Sagi, one of the oldest surviving chronicles of Korea’s Three Kingdoms.
  • D. Hong Kyeong-pyo
    Hong Kyeong-pyo is a South Korean cinematographer renowned for his visually striking work on acclaimed films such as "Parasite," "Burning," and "Snowpiercer."
  • E. Sung Dong-il
    Sung Dong-il is a veteran South Korean actor known for his versatile supporting and character roles across popular films and television dramas.
  • 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_69e11e3f7e04819089806d81d5ac431e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12b2aefb881909bddbabd4be0bd58 completed April 28, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0ab64da05881908d628dcd9824f20d completed May 18, 2026, 6:48 a.m.
NEDg Description generation batch_6a0ab7d591ac8190acee6e451f14f201 completed May 18, 2026, 6:55 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab83812a881908eba79be34491101 completed May 18, 2026, 6:56 a.m.
Created at: April 16, 2026, 8:36 p.m.