Triple

T5812956
Position Surface form Disambiguated ID Type / Status
Subject Park Hae-soo E128914 entity
Predicate nativeName P15 FINISHED
Object 박해수
박해수는 넷플릭스 시리즈 「오징어 게임」에서의 열연으로 세계적인 주목을 받은 대한민국의 배우이다.
 E547669 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: 박해수 | Statement: [Park Hae-soo, nativeName, 박해수]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 박해수
Context triple: [Park Hae-soo, nativeName, 박해수]
  • A. Hwang In-ho
    Hwang In-ho is a mysterious character in the South Korean series "Squid Game," known as the Front Man and the missing brother of police officer Hwang Jun-ho.
  • B. Jeon Bong-jun
    Jeon Bong-jun was a prominent late 19th-century Korean peasant leader who spearheaded the Donghak Peasant Rebellion against corrupt officials and foreign influence in Joseon Korea.
  • C. Cho Sang-woo
    Cho Sang-woo is a central character in the South Korean series "Squid Game," portrayed as a once-successful investment banker whose desperation and moral decline drive much of the show's tension and drama.
  • D. 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.
  • E. Shim Joong-bo
    Shim Joong-bo is a Catholic prelate known for having ordained Lázaro You Heung-sik, a prominent Korean cardinal in the Roman Catholic Church.
  • 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: 박해수
Triple: [Park Hae-soo, nativeName, 박해수]
Generated description
박해수는 넷플릭스 시리즈 「오징어 게임」에서의 열연으로 세계적인 주목을 받은 대한민국의 배우이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 박해수
Target entity description: 박해수는 넷플릭스 시리즈 「오징어 게임」에서의 열연으로 세계적인 주목을 받은 대한민국의 배우이다.
  • A. Hwang In-ho
    Hwang In-ho is a mysterious character in the South Korean series "Squid Game," known as the Front Man and the missing brother of police officer Hwang Jun-ho.
  • B. Jeon Bong-jun
    Jeon Bong-jun was a prominent late 19th-century Korean peasant leader who spearheaded the Donghak Peasant Rebellion against corrupt officials and foreign influence in Joseon Korea.
  • C. Cho Sang-woo
    Cho Sang-woo is a central character in the South Korean series "Squid Game," portrayed as a once-successful investment banker whose desperation and moral decline drive much of the show's tension and drama.
  • D. 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.
  • E. Shim Joong-bo
    Shim Joong-bo is a Catholic prelate known for having ordained Lázaro You Heung-sik, a prominent Korean cardinal in the Roman Catholic Church.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b56044c8190847478a342d441c2 completed March 22, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09848dd148190aeea1b1d454b8da5 completed March 23, 2026, 1:32 a.m.
NEDg Description generation batch_69c098ba92408190b61b115540fce941 completed March 23, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69c099bd26fc8190a58bf483a6d4cbca completed March 23, 2026, 1:39 a.m.
Created at: March 22, 2026, 3:52 p.m.