Triple

T14372079
Position Surface form Disambiguated ID Type / Status
Subject Lee Kun-hee E356380 entity
Predicate spouse P13 FINISHED
Object Hong Ra-hee
Hong Ra-hee is a South Korean art collector and former director of the Leeum, Samsung Museum of Art, known for her influential role in the country's art and cultural scene.
 E1125123 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: Hong Ra-hee | Statement: [Lee Kun-hee, spouse, Hong Ra-hee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hong Ra-hee
Context triple: [Lee Kun-hee, spouse, Hong Ra-hee]
  • A. Ban Hyun-hee
    Ban Hyun-hee is a child of Yoo Soon-taek, who is known as the spouse of former UN Secretary-General Ban Ki-moon.
  • B. Park Sun-hui
    Park Sun-hui was the wife of Chang Myon, a prominent South Korean politician and former Prime Minister.
  • C. Kim Jung-sook
    Kim Jung-sook is a South Korean classical singer and former First Lady of South Korea, known for being married to former President Moon Jae-in.
  • D. Park Bin-na
    Park Bin-na is a South Korean figure skating coach best known for having coached Olympic champion Yuna Kim earlier in her career.
  • E. Kwak Sin-ae
    Kwak Sin-ae is a South Korean film producer best known for producing the Academy Award–winning film "Parasite."
  • 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: Hong Ra-hee
Triple: [Lee Kun-hee, spouse, Hong Ra-hee]
Generated description
Hong Ra-hee is a South Korean art collector and former director of the Leeum, Samsung Museum of Art, known for her influential role in the country's art and cultural scene.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hong Ra-hee
Target entity description: Hong Ra-hee is a South Korean art collector and former director of the Leeum, Samsung Museum of Art, known for her influential role in the country's art and cultural scene.
  • A. Ban Hyun-hee
    Ban Hyun-hee is a child of Yoo Soon-taek, who is known as the spouse of former UN Secretary-General Ban Ki-moon.
  • B. Park Sun-hui
    Park Sun-hui was the wife of Chang Myon, a prominent South Korean politician and former Prime Minister.
  • C. Kim Jung-sook
    Kim Jung-sook is a South Korean classical singer and former First Lady of South Korea, known for being married to former President Moon Jae-in.
  • D. Park Bin-na
    Park Bin-na is a South Korean figure skating coach best known for having coached Olympic champion Yuna Kim earlier in her career.
  • E. Kwak Sin-ae
    Kwak Sin-ae is a South Korean film producer best known for producing the Academy Award–winning film "Parasite."
  • 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_69fe6b3a76ac819088587b9fa560b6dc completed May 8, 2026, 11:01 p.m.
NEDg Description generation batch_69fe6df63b78819087d6c709db1ce889 completed May 8, 2026, 11:12 p.m.
NED2 Entity disambiguation (via description) batch_69fe6e32f7a0819086ca1303024c6db9 completed May 8, 2026, 11:13 p.m.
Created at: April 10, 2026, 1:15 a.m.