Triple

T14372057
Position Surface form Disambiguated ID Type / Status
Subject Lee Kun-hee E356380 entity
Predicate nativeName P15 FINISHED
Object 이건희
이건희는 삼성그룹을 세계적인 전자·IT 기업으로 성장시킨 대한민국의 대표적인 기업가이자 경영자이다.
E1095370 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: 이건희 | Statement: [Lee Kun-hee, nativeName, 이건희]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 이건희
Context triple: [Lee Kun-hee, nativeName, 이건희]
  • A. 김대중
    김대중은 대한민국의 제15대 대통령으로, 민주화 운동과 남북 화해 정책(햇볕정책)을 주도해 노벨 평화상을 수상한 정치인이다.
  • B. Kim Young-sam
    Kim Young-sam was a South Korean politician who served as the country’s president in the 1990s and is known for advancing democratic reforms and anti-corruption measures.
  • C. Gowon
    Gowon is a Nigerian surname most prominently associated with Yakubu Gowon, the former military head of state of Nigeria from 1966 to 1975.
  • D. John Kim
    John Kim is an Australian actor best known for his role as Ezekiel Jones in the fantasy-adventure television series "The Librarians."
  • E. John Kim
    John Kim is a prominent mechanical engineer and researcher renowned for his pioneering work in computational fluid dynamics and turbulence modeling.
  • 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: 이건희
Triple: [Lee Kun-hee, nativeName, 이건희]
Generated description
이건희는 삼성그룹을 세계적인 전자·IT 기업으로 성장시킨 대한민국의 대표적인 기업가이자 경영자이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: 이건희
Target entity description: 이건희는 삼성그룹을 세계적인 전자·IT 기업으로 성장시킨 대한민국의 대표적인 기업가이자 경영자이다.
  • A. 김대중
    김대중은 대한민국의 제15대 대통령으로, 민주화 운동과 남북 화해 정책(햇볕정책)을 주도해 노벨 평화상을 수상한 정치인이다.
  • B. Kim Young-sam
    Kim Young-sam was a South Korean politician who served as the country’s president in the 1990s and is known for advancing democratic reforms and anti-corruption measures.
  • C. Gowon
    Gowon is a Nigerian surname most prominently associated with Yakubu Gowon, the former military head of state of Nigeria from 1966 to 1975.
  • D. John Kim
    John Kim is an Australian actor best known for his role as Ezekiel Jones in the fantasy-adventure television series "The Librarians."
  • E. John Kim
    John Kim is a prominent mechanical engineer and researcher renowned for his pioneering work in computational fluid dynamics and turbulence modeling.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fb2082c8190b42cc5f2bab4f574 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c5363a081909681b54c1d8218dc completed May 8, 2026, 2:37 a.m.
NEDg Description generation batch_69fd4e795948819097c43e30902f1654 completed May 8, 2026, 2:46 a.m.
NED2 Entity disambiguation (via description) batch_69fd4f04d7ec819095b64d4811440166 completed May 8, 2026, 2:48 a.m.
Created at: April 10, 2026, 1:15 a.m.