Triple

T12057669
Position Surface form Disambiguated ID Type / Status
Subject Son Kee-chung E287082 entity
Predicate alsoKnownAs P39 FINISHED
Object Son Ki-jung
Son Ki-jung was a Korean marathon runner who won the gold medal at the 1936 Berlin Olympics while competing for Japan under the name Son Kee-chung.
 E973025 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: Son Ki-jung | Statement: [Son Kee-chung, alsoKnownAs, Son Ki-jung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Son Ki-jung
Context triple: [Son Kee-chung, alsoKnownAs, Son Ki-jung]
  • A. Koo Cha-kyung
    Koo Cha-kyung was a South Korean businessman who led and expanded the LG Group as its second chairman, transforming it into a major global conglomerate.
  • B. Kwak Sin-ae
    Kwak Sin-ae is a South Korean film producer best known for producing the Academy Award–winning film "Parasite."
  • C. Lee Maeng-hee
    Lee Maeng-hee was a South Korean businessman best known as the eldest son of Samsung founder Lee Byung-chul and a former executive within the Samsung Group.
  • D. Cha Jeong-in
    Cha Jeong-in is a South Korean academic who serves as the president of Pusan National University.
  • E. Ko Young-hee
    Ko Young-hee was a North Korean dancer best known as the consort of leader Kim Jong Il and the mother of current leader Kim Jong Un.
  • 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: Son Ki-jung
Triple: [Son Kee-chung, alsoKnownAs, Son Ki-jung]
Generated description
Son Ki-jung was a Korean marathon runner who won the gold medal at the 1936 Berlin Olympics while competing for Japan under the name Son Kee-chung.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Son Ki-jung
Target entity description: Son Ki-jung was a Korean marathon runner who won the gold medal at the 1936 Berlin Olympics while competing for Japan under the name Son Kee-chung.
  • A. Koo Cha-kyung
    Koo Cha-kyung was a South Korean businessman who led and expanded the LG Group as its second chairman, transforming it into a major global conglomerate.
  • B. Kwak Sin-ae
    Kwak Sin-ae is a South Korean film producer best known for producing the Academy Award–winning film "Parasite."
  • C. Lee Maeng-hee
    Lee Maeng-hee was a South Korean businessman best known as the eldest son of Samsung founder Lee Byung-chul and a former executive within the Samsung Group.
  • D. Cha Jeong-in
    Cha Jeong-in is a South Korean academic who serves as the president of Pusan National University.
  • E. Ko Young-hee
    Ko Young-hee was a North Korean dancer best known as the consort of leader Kim Jong Il and the mother of current leader Kim Jong Un.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043bf0ec8190a51ef2641808320c completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e3ee53c81909c2e4620a12a46da completed May 2, 2026, 3:54 p.m.
NEDg Description generation batch_69f61f0dc1e08190bfd2452287d534c9 completed May 2, 2026, 3:58 p.m.
NED2 Entity disambiguation (via description) batch_69f61fa2073881909f683966772bd6b2 completed May 2, 2026, 4 p.m.
Created at: April 8, 2026, 9:47 p.m.