Triple

T10730898
Position Surface form Disambiguated ID Type / Status
Subject Heo Jeong E253069 entity
Predicate givenName P17 FINISHED
Object Jeong
Jeong is a Korean given name commonly used for both males and females, often associated with meanings related to affection, virtue, or righteousness depending on the hanja used.
 E882487 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: Jeong | Statement: [Heo Jeong, givenName, Jeong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jeong
Context triple: [Heo Jeong, givenName, Jeong]
  • 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. Jinwicheon
    Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
  • C. Jang
    Jang is a Korean surname shared by numerous individuals across Korea and the Korean diaspora.
  • D. Jang
    Jang is one of the small islands that make up Maloelap Atoll in the Republic of the Marshall Islands.
  • E. Yo-jong
    Yo-jong is a North Korean political figure best known as the influential sister of leader Kim Jong-un and a senior official in the ruling Workers’ Party of Korea.
  • 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: Jeong
Triple: [Heo Jeong, givenName, Jeong]
Generated description
Jeong is a Korean given name commonly used for both males and females, often associated with meanings related to affection, virtue, or righteousness depending on the hanja used.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Jeong
Target entity description: Jeong is a Korean given name commonly used for both males and females, often associated with meanings related to affection, virtue, or righteousness depending on the hanja used.
  • 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. Jinwicheon
    Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
  • C. Jang
    Jang is a Korean surname shared by numerous individuals across Korea and the Korean diaspora.
  • D. Jang
    Jang is one of the small islands that make up Maloelap Atoll in the Republic of the Marshall Islands.
  • E. Yo-jong
    Yo-jong is a North Korean political figure best known as the influential sister of leader Kim Jong-un and a senior official in the ruling Workers’ Party of Korea.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70fcb1cd881909635def59ad5d19c completed April 9, 2026, 2:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbda1d1b108190a47b46661bc85b2d completed April 12, 2026, 5:45 p.m.
NEDg Description generation batch_69dcad07b51081908fd66ee9ff7341f6 completed April 13, 2026, 8:44 a.m.
NED2 Entity disambiguation (via description) batch_69dd4386e3308190bb8503ce75fa628f completed April 13, 2026, 7:27 p.m.
Created at: April 8, 2026, 9:14 p.m.