Triple

T13985942
Position Surface form Disambiguated ID Type / Status
Subject Shin Young-soo E336439 entity
Predicate name P16 FINISHED
Object Shin Young-soo E336439 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: Shin Young-soo | Statement: [Shin Young-soo, name, Shin Young-soo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shin Young-soo
Context triple: [Shin Young-soo, name, Shin Young-soo]
  • A. Shin Young-soo chosen
    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.
  • B. Yuk Young-soo
    Yuk Young-soo was the respected First Lady of South Korea and wife of President Park Chung-hee, remembered for her charitable work and her assassination in 1974.
  • C. Suh Yun-bok
    Suh Yun-bok was a South Korean long-distance runner best known for winning the 1947 Boston Marathon and later serving as a symbolic sports figure in Korea.
  • D. Koh Young-jin
    Koh Young-jin is a South Korean individual notable enough to be recognized as a prominent bearer of the Korean surname Koh.
  • E. 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.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ea3e5a081908ed8ead108139252 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac942ba481908858d7f214085b5f completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:18 p.m.