Triple

T10730956
Position Surface form Disambiguated ID Type / Status
Subject Yun Posun E253070 entity
Predicate spouse P13 FINISHED
Object Kim Ok-yun
Kim Ok-yun was the wife of Yun Posun, the second President of South Korea.
 E885241 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: Kim Ok-yun | Statement: [Yun Posun, spouse, Kim Ok-yun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kim Ok-yun
Context triple: [Yun Posun, spouse, Kim Ok-yun]
  • A. Kim Yoon-ok
    Kim Yoon-ok is the former First Lady of South Korea, known primarily as the wife of ex-president Lee Myung-bak.
  • B. Jo Yun-ok
    Jo Yun-ok is the wife of renowned Hong Kong martial artist, actor, and film director Sammo Hung.
  • C. Kim Sung-ae
    Kim Sung-ae was the second wife of North Korean leader Kim Il Sung and a prominent political figure who headed the country’s women’s organization.
  • D. Lee In-hee
    Lee In-hee is a South Korean businesswoman and heiress known as a prominent member of the Samsung founding family.
  • E. Shin Hye-sook
    Shin Hye-sook is a South Korean figure skating coach best known for working with Olympic champion Yuna Kim during her early development.
  • 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: Kim Ok-yun
Triple: [Yun Posun, spouse, Kim Ok-yun]
Generated description
Kim Ok-yun was the wife of Yun Posun, the second President of South Korea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kim Ok-yun
Target entity description: Kim Ok-yun was the wife of Yun Posun, the second President of South Korea.
  • A. Kim Yoon-ok
    Kim Yoon-ok is the former First Lady of South Korea, known primarily as the wife of ex-president Lee Myung-bak.
  • B. Jo Yun-ok
    Jo Yun-ok is the wife of renowned Hong Kong martial artist, actor, and film director Sammo Hung.
  • C. Kim Sung-ae
    Kim Sung-ae was the second wife of North Korean leader Kim Il Sung and a prominent political figure who headed the country’s women’s organization.
  • D. Lee In-hee
    Lee In-hee is a South Korean businesswoman and heiress known as a prominent member of the Samsung founding family.
  • E. Shin Hye-sook
    Shin Hye-sook is a South Korean figure skating coach best known for working with Olympic champion Yuna Kim during her early development.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70fcb1cd881909635def59ad5d19c completed April 9, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69de557c4ea4819090b0c6c2175e05ea completed April 14, 2026, 2:55 p.m.
NEDg Description generation batch_69de5952f6c48190abd3b87372d54f58 completed April 14, 2026, 3:12 p.m.
NED2 Entity disambiguation (via description) batch_69de5ed49c9c8190a4085407f88d7a05 completed April 14, 2026, 3:35 p.m.
Created at: April 8, 2026, 9:14 p.m.