Triple

T4307755
Position Surface form Disambiguated ID Type / Status
Subject Min E93996 entity
Predicate hasVariantForm P457 FINISHED
Object Min (Korean given name)
Min is a Korean unisex given name that can have various meanings depending on the hanja used to write it.
 E429225 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: Min (Korean given name) | Statement: [Min, hasVariantForm, Min (Korean given name)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Min (Korean given name)
Context triple: [Min, hasVariantForm, Min (Korean given name)]
  • A. Jeong
    Jeong is the Korean family name of Ken Jeong, the American comedian, actor, and physician known for roles in "The Hangover" series and the TV show "Community."
  • B. Seonghwan
    Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
  • C. Jinwicheon
    Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
  • D. Soyeon
    Soyeon is a Korean-born interpreter and the wife of former German Chancellor Gerhard Schröder.
  • E. Jang
    Jang is one of the small islands that make up Maloelap Atoll in the Republic of the Marshall Islands.
  • 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: Min (Korean given name)
Triple: [Min, hasVariantForm, Min (Korean given name)]
Generated description
Min is a Korean unisex given name that can have various meanings depending on the hanja used to write it.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Min (Korean given name)
Target entity description: Min is a Korean unisex given name that can have various meanings depending on the hanja used to write it.
  • A. Jeong
    Jeong is the Korean family name of Ken Jeong, the American comedian, actor, and physician known for roles in "The Hangover" series and the TV show "Community."
  • B. Seonghwan
    Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
  • C. Jinwicheon
    Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
  • D. Soyeon
    Soyeon is a Korean-born interpreter and the wife of former German Chancellor Gerhard Schröder.
  • E. Jang
    Jang is one of the small islands that make up Maloelap Atoll in the Republic of the Marshall Islands.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350d2af088190ad7cb035d6e0f8c2 completed March 12, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5c756809c8190af90c91ec7883e55 completed March 14, 2026, 8:38 p.m.
NEDg Description generation batch_69b5c804f3f881908dd2d020d07c4859 completed March 14, 2026, 8:41 p.m.
NED2 Entity disambiguation (via description) batch_69b5c84e48b8819080571f995d8baf13 completed March 14, 2026, 8:42 p.m.
Created at: March 12, 2026, 11:11 p.m.