Triple

T10424129
Position Surface form Disambiguated ID Type / Status
Subject Donghak E245739 entity
Predicate leader P981 FINISHED
Object Son Byeong-hui
Son Byeong-hui was a prominent Korean religious and independence leader who modernized the Donghak movement into Cheondogyo and played a key role in the March 1st Movement against Japanese colonial rule.
 E862517 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 Byeong-hui | Statement: [Donghak, leader, Son Byeong-hui]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Son Byeong-hui
Context triple: [Donghak, leader, Son Byeong-hui]
  • A. Jung Sun-young
    Jung Sun-young is the wife of acclaimed South Korean film director Bong Joon-ho.
  • B. Cha Jeong-in
    Cha Jeong-in is a South Korean academic who serves as the president of Pusan National University.
  • 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. Jung Jang-seon
    Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
  • 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: Son Byeong-hui
Triple: [Donghak, leader, Son Byeong-hui]
Generated description
Son Byeong-hui was a prominent Korean religious and independence leader who modernized the Donghak movement into Cheondogyo and played a key role in the March 1st Movement against Japanese colonial rule.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Son Byeong-hui
Target entity description: Son Byeong-hui was a prominent Korean religious and independence leader who modernized the Donghak movement into Cheondogyo and played a key role in the March 1st Movement against Japanese colonial rule.
  • A. Jung Sun-young
    Jung Sun-young is the wife of acclaimed South Korean film director Bong Joon-ho.
  • B. Cha Jeong-in
    Cha Jeong-in is a South Korean academic who serves as the president of Pusan National University.
  • 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. Jung Jang-seon
    Jung Jang-seon is a South Korean politician serving as the mayor of the city of Pyeongtaek.
  • 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_69d381bf3dc08190bf35a2643e4e8f22 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4ea47a6408190a87b32760692487f completed April 7, 2026, 11:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fc2160208190b6384190d9537df4 completed April 9, 2026, 7:21 p.m.
NEDg Description generation batch_69d822d76f3481909f7c04be19414b14 completed April 9, 2026, 10:06 p.m.
NED2 Entity disambiguation (via description) batch_69d859fd8f0c8190b0fec880e1180e50 completed April 10, 2026, 2:01 a.m.
Created at: April 6, 2026, 12:12 p.m.