Triple

T9087916
Position Surface form Disambiguated ID Type / Status
Subject Chung Chung-hoon E217805 entity
Predicate nativeName P15 FINISHED
Object 정정훈
정정훈은 한국 영화와 할리우드 작품에서 활약하며 독창적인 시각 스타일로 알려진 촬영 감독이다.
E777462 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: 정정훈 | Statement: [Chung Chung-hoon, nativeName, 정정훈]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 정정훈
Context triple: [Chung Chung-hoon, nativeName, 정정훈]
  • A. 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."
  • B. An Chang-ho
    An Chang-ho was a prominent Korean independence activist, educator, and nationalist leader who played a key role in shaping modern Korean identity and reform movements in the early 20th century.
  • C. 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.
  • D. Ryu Jong-hyun
    Ryu Jong-hyun is a South Korean figure skating coach best known for having coached Olympic champion Yuna Kim earlier in her career.
  • E. 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.
  • 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: 정정훈
Triple: [Chung Chung-hoon, nativeName, 정정훈]
Generated description
정정훈은 한국 영화와 할리우드 작품에서 활약하며 독창적인 시각 스타일로 알려진 촬영 감독이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 정정훈
Target entity description: 정정훈은 한국 영화와 할리우드 작품에서 활약하며 독창적인 시각 스타일로 알려진 촬영 감독이다.
  • A. 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."
  • B. An Chang-ho
    An Chang-ho was a prominent Korean independence activist, educator, and nationalist leader who played a key role in shaping modern Korean identity and reform movements in the early 20th century.
  • C. 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.
  • D. Ryu Jong-hyun
    Ryu Jong-hyun is a South Korean figure skating coach best known for having coached Olympic champion Yuna Kim earlier in her career.
  • E. 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.
  • 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_69ca83d8ab5881909d8fddae363b32b1 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc965646408190b041ab0e2d5dbc94 completed April 1, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017d500988190a6abf633f2226858 completed April 3, 2026, 7:41 p.m.
NEDg Description generation batch_69d01963aac881909a4890948f7b7c1c completed April 3, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69d019f55a6c8190b7065c0dcb5bb1d9 completed April 3, 2026, 7:50 p.m.
Created at: March 30, 2026, 7:13 p.m.