Triple

T11868586
Position Surface form Disambiguated ID Type / Status
Subject Chang Myon E282348 entity
Predicate spouse P13 FINISHED
Object Park Sun-hui
Park Sun-hui was the wife of Chang Myon, a prominent South Korean politician and former Prime Minister.
 E951026 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: Park Sun-hui | Statement: [Chang Myon, spouse, Park Sun-hui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Park Sun-hui
Context triple: [Chang Myon, spouse, Park Sun-hui]
  • 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. 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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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: Park Sun-hui
Triple: [Chang Myon, spouse, Park Sun-hui]
Generated description
Park Sun-hui was the wife of Chang Myon, a prominent South Korean politician and former Prime Minister.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Park Sun-hui
Target entity description: Park Sun-hui was the wife of Chang Myon, a prominent South Korean politician and former Prime Minister.
  • 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. 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.
  • C. 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.
  • D. 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.
  • E. 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.
  • 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_69d6ab2945d081908a5851c916cbcfb5 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a73c04e4819084c0b2ff8e5d2f04 completed April 10, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281a2abfc8190a4769e637dedaaab completed April 29, 2026, 10:09 p.m.
NEDg Description generation batch_69f28a92ac90819092eef473a49d329e completed April 29, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69f28c462d888190a43e042b00921dbe completed April 29, 2026, 10:55 p.m.
Created at: April 8, 2026, 9:43 p.m.