Triple

T4051309
Position Surface form Disambiguated ID Type / Status
Subject Koo In-hwoi E84591 entity
Predicate hasSuccessor P78 FINISHED
Object 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.
 E424520 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: Koo Cha-kyung | Statement: [Koo In-hwoi, hasSuccessor, Koo Cha-kyung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Koo Cha-kyung
Context triple: [Koo In-hwoi, hasSuccessor, Koo Cha-kyung]
  • A. 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.
  • B. Cha Jeong-in
    Cha Jeong-in is a South Korean academic who serves as the president of Pusan National University.
  • C. Kwak Sin-ae
    Kwak Sin-ae is a South Korean film producer best known for producing the Academy Award–winning film "Parasite."
  • D. 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.
  • E. Park So-dam
    Park So-dam is a South Korean actress best known internationally for her acclaimed performance as the crafty daughter in the Oscar-winning film "Parasite."
  • 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: Koo Cha-kyung
Triple: [Koo In-hwoi, hasSuccessor, Koo Cha-kyung]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Koo Cha-kyung
Target entity description: 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.
  • A. 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.
  • B. Cha Jeong-in
    Cha Jeong-in is a South Korean academic who serves as the president of Pusan National University.
  • C. Kwak Sin-ae
    Kwak Sin-ae is a South Korean film producer best known for producing the Academy Award–winning film "Parasite."
  • D. 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.
  • E. Park So-dam
    Park So-dam is a South Korean actress best known internationally for her acclaimed performance as the crafty daughter in the Oscar-winning film "Parasite."
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb8539148190990468c1429be9dd completed March 9, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a836606c81909acd0f0e31448ba9 completed March 14, 2026, 6:25 p.m.
NEDg Description generation batch_69b5a8caf8bc819084526cf3ee57db86 completed March 14, 2026, 6:28 p.m.
NED2 Entity disambiguation (via description) batch_69b5acd1de6881909ec9d7d542bb8552 completed March 14, 2026, 6:45 p.m.
Created at: March 9, 2026, 3:37 p.m.