Triple

T2805867
Position Surface form Disambiguated ID Type / Status
Subject Seoul National University E54050 entity
Predicate hasPresident P112 FINISHED
Object Yoo Hong Lim
Yoo Hong Lim is a South Korean academic who serves as the president of Seoul National University, one of the country’s most prestigious universities.
 E299256 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: Yoo Hong Lim | Statement: [Seoul National University, hasPresident, Yoo Hong Lim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Yoo Hong Lim
Context triple: [Seoul National University, hasPresident, Yoo Hong Lim]
  • A. Ko Yong Hui
    Ko Yong Hui was a North Korean dancer who became a de facto first lady and is best known as the mother of current leader Kim Jong Un.
  • B. Kim Young Sook
    Kim Young Sook is a North Korean woman best known as one of the wives of former North Korean leader Kim Jong Il.
  • C. Yun Chi Chung
    Yun Chi Chung is best known as the former wife of American comedian and actor Redd Foxx.
  • D. Dongjin Seo
    Dongjin Seo is a neuroscientist and engineer known as one of the co-founders of the brain–computer interface company Neuralink.
  • E. Do Ho Suh
    Do Ho Suh is a South Korean contemporary artist known for his intricate sculptures and installations that explore themes of home, memory, and personal space.
  • 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: Yoo Hong Lim
Triple: [Seoul National University, hasPresident, Yoo Hong Lim]
Generated description
Yoo Hong Lim is a South Korean academic who serves as the president of Seoul National University, one of the country’s most prestigious universities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Yoo Hong Lim
Target entity description: Yoo Hong Lim is a South Korean academic who serves as the president of Seoul National University, one of the country’s most prestigious universities.
  • A. Ko Yong Hui
    Ko Yong Hui was a North Korean dancer who became a de facto first lady and is best known as the mother of current leader Kim Jong Un.
  • B. Kim Young Sook
    Kim Young Sook is a North Korean woman best known as one of the wives of former North Korean leader Kim Jong Il.
  • C. Yun Chi Chung
    Yun Chi Chung is best known as the former wife of American comedian and actor Redd Foxx.
  • D. Dongjin Seo
    Dongjin Seo is a neuroscientist and engineer known as one of the co-founders of the brain–computer interface company Neuralink.
  • E. Do Ho Suh
    Do Ho Suh is a South Korean contemporary artist known for his intricate sculptures and installations that explore themes of home, memory, and personal space.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde165a448190aa2728ec074daf88 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc676d03081908986026dfe5fc852 completed March 10, 2026, 7:21 a.m.
NEDg Description generation batch_69afc7e1e0708190a1e87212435029f6 completed March 10, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69afc8470cc081908241d23975181aa0 completed March 10, 2026, 7:29 a.m.
Created at: March 6, 2026, 9:59 p.m.