Triple

T6904139
Position Surface form Disambiguated ID Type / Status
Subject Kim Jong Chol E159565 entity
Predicate mother P120 FINISHED
Object Ko Yong Hui E169966 NE FINISHED

How this triple was built (2 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: Ko Yong Hui | Statement: [Kim Jong Chol, mother, Ko Yong Hui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ko Yong Hui
Context triple: [Kim Jong Chol, mother, Ko Yong Hui]
  • A. Ko Yong Hui chosen
    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. Chung Ju-yung
    Chung Ju-yung was a South Korean entrepreneur and industrialist who built the Hyundai conglomerate into one of the country’s largest and most influential business empires.
  • C. 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.
  • D. Yun Chi-ho
    Yun Chi-ho was a prominent Korean politician, educator, and independence activist of the late Joseon and early modern period, known for his influential role in Korea’s modernization and nationalist movements.
  • E. Shin Young-soo
    Shin Young-soo is a South Korean physician and public health expert who served as the World Health Organization’s Regional Director for the Western Pacific.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d989c13081908a2e346cde9e3a50 completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c748f6640481908b74903a47e1eb18 completed March 28, 2026, 3:20 a.m.
Created at: March 27, 2026, 2:25 p.m.