Triple

T20387099
Position Surface form Disambiguated ID Type / Status
Subject Cho E497986 entity
Predicate hasNotableBearer P458 FINISHED
Object Cho Dong-hyun
Cho Dong-hyun is a South Korean former footballer and manager known for his contributions to Korean club and youth football.
E1548871 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 Dong-hyun | Statement: [Cho, hasNotableBearer, Cho Dong-hyun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cho Dong-hyun
Context triple: [Cho, hasNotableBearer, Cho Dong-hyun]
  • A. Cho Hyun-woo
    Cho Hyun-woo is a South Korean professional football goalkeeper known for his performances with the national team, particularly at the 2018 FIFA World Cup.
  • B. Lee Hee-joon
    Lee Hee-joon is a South Korean actor known for his versatile performances in film, television dramas, and theater.
  • C. Oh Seung-hwan
    Oh Seung-hwan is a South Korean professional baseball relief pitcher renowned as one of the KBO League’s greatest closers and for his successful stints in Nippon Professional Baseball and Major League Baseball.
  • D. Jeong Ji-hoon
    Jeong Ji-hoon, better known by his stage name Rain, is a South Korean singer, actor, and music producer who gained international fame as a K-pop star and Hallyu icon.
  • E. Kim Haeyong
    Kim Haeyong is a cinematographer best known for his work on the animated feature film "The Lego Ninjago Movie."
  • 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 Dong-hyun
Triple: [Cho, hasNotableBearer, Cho Dong-hyun]
Generated description
Cho Dong-hyun is a South Korean former footballer and manager known for his contributions to Korean club and youth football.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cho Dong-hyun
Target entity description: Cho Dong-hyun is a South Korean former footballer and manager known for his contributions to Korean club and youth football.
  • A. Cho Hyun-woo
    Cho Hyun-woo is a South Korean professional football goalkeeper known for his performances with the national team, particularly at the 2018 FIFA World Cup.
  • B. Lee Hee-joon
    Lee Hee-joon is a South Korean actor known for his versatile performances in film, television dramas, and theater.
  • C. Oh Seung-hwan
    Oh Seung-hwan is a South Korean professional baseball relief pitcher renowned as one of the KBO League’s greatest closers and for his successful stints in Nippon Professional Baseball and Major League Baseball.
  • D. Jeong Ji-hoon
    Jeong Ji-hoon, better known by his stage name Rain, is a South Korean singer, actor, and music producer who gained international fame as a K-pop star and Hallyu icon.
  • E. Kim Haeyong
    Kim Haeyong is a cinematographer best known for his work on the animated feature film "The Lego Ninjago Movie."
  • 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_6a0b73cba8a481908fe119e5dccf260d completed May 18, 2026, 8:17 p.m.
NEDg Description generation batch_6a0b760efc9081908d0e32b82fa341b2 completed May 18, 2026, 8:26 p.m.
NED2 Entity disambiguation (via description) batch_6a0b768dc11c81908c3f6e7b7d7abba7 completed May 18, 2026, 8:29 p.m.
Created at: April 16, 2026, 11:28 a.m.