Triple

T20387076
Position Surface form Disambiguated ID Type / Status
Subject Cho E497986 entity
Predicate hasNotableBearer P458 FINISHED
Object Cho Myoung-gyon
Cho Myoung-gyon is a South Korean politician who served as Minister of Unification, playing a key role in inter-Korean relations and dialogue.
 E1492738 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: Cho Myoung-gyon | Statement: [Cho, hasNotableBearer, Cho Myoung-gyon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cho Myoung-gyon
Context triple: [Cho, hasNotableBearer, Cho Myoung-gyon]
  • A. 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.
  • B. Suh Kyung-bae
    Suh Kyung-bae is a South Korean billionaire businessman best known as the chairman of Amorepacific Corporation, one of Asia’s leading cosmetics companies.
  • C. Park Hee-soon
    Park Hee-soon is a South Korean actor known for his versatile performances in film and television, often portraying intense and complex characters.
  • D. Byeon Bong-seon
    Byeon Bong-seon is a South Korean cinematographer known for his work on the sci-fi film "Space Sweepers."
  • E. Choi Yong-gon
    Choi Yong-gon was a Korean independence activist and military leader who later became a prominent North Korean politician, serving as the country's head of state.
  • 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: Cho Myoung-gyon
Triple: [Cho, hasNotableBearer, Cho Myoung-gyon]
Generated description
Cho Myoung-gyon is a South Korean politician who served as Minister of Unification, playing a key role in inter-Korean relations and dialogue.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cho Myoung-gyon
Target entity description: Cho Myoung-gyon is a South Korean politician who served as Minister of Unification, playing a key role in inter-Korean relations and dialogue.
  • A. 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.
  • B. Suh Kyung-bae
    Suh Kyung-bae is a South Korean billionaire businessman best known as the chairman of Amorepacific Corporation, one of Asia’s leading cosmetics companies.
  • C. Park Hee-soon
    Park Hee-soon is a South Korean actor known for his versatile performances in film and television, often portraying intense and complex characters.
  • D. Byeon Bong-seon
    Byeon Bong-seon is a South Korean cinematographer known for his work on the sci-fi film "Space Sweepers."
  • E. Choi Yong-gon
    Choi Yong-gon was a Korean independence activist and military leader who later became a prominent North Korean politician, serving as the country's head of state.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790c935881908f901d058e6a83a9 completed April 20, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09fd19b9b88190a66b02d573751343 completed May 17, 2026, 5:38 p.m.
NEDg Description generation batch_6a09fe995c4c8190be64a5a97f22232b completed May 17, 2026, 5:44 p.m.
NED2 Entity disambiguation (via description) batch_6a09ff342bec8190870fb37ee997c166 completed May 17, 2026, 5:47 p.m.
Created at: April 16, 2026, 11:28 a.m.