Triple

T5222048
Position Surface form Disambiguated ID Type / Status
Subject Young E117890 entity
Predicate hasNotableBearer P458 FINISHED
Object Kim Young
Kim Young is a personal name shared by multiple notable individuals, including figures in fields such as politics, sports, and the arts.
 E504171 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: Kim Young | Statement: [Young, hasNotableBearer, Kim Young]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kim Young
Context triple: [Young, hasNotableBearer, Kim Young]
  • A. Chung Ju-yung
    Chung Ju-yung was a South Korean entrepreneur and industrialist who built the Hyundai conglomerate into one of the country’s largest and most influential business empires.
  • B. John Kim
    John Kim is a prominent mechanical engineer and researcher renowned for his pioneering work in computational fluid dynamics and turbulence modeling.
  • C. John Kim
    John Kim is an Australian actor best known for his role as Ezekiel Jones in the fantasy-adventure television series "The Librarians."
  • D. Ko Yong Hui
    Ko Yong Hui was a North Korean dancer who became a de facto first lady and is best known as the mother of current leader Kim Jong Un.
  • E. Kim Young Sook
    Kim Young Sook is a North Korean woman best known as one of the wives of former North Korean leader Kim Jong Il.
  • 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: Kim Young
Triple: [Young, hasNotableBearer, Kim Young]
Generated description
Kim Young is a personal name shared by multiple notable individuals, including figures in fields such as politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kim Young
Target entity description: Kim Young is a personal name shared by multiple notable individuals, including figures in fields such as politics, sports, and the arts.
  • A. Chung Ju-yung
    Chung Ju-yung was a South Korean entrepreneur and industrialist who built the Hyundai conglomerate into one of the country’s largest and most influential business empires.
  • B. John Kim
    John Kim is a prominent mechanical engineer and researcher renowned for his pioneering work in computational fluid dynamics and turbulence modeling.
  • C. John Kim
    John Kim is an Australian actor best known for his role as Ezekiel Jones in the fantasy-adventure television series "The Librarians."
  • D. Ko Yong Hui
    Ko Yong Hui was a North Korean dancer who became a de facto first lady and is best known as the mother of current leader Kim Jong Un.
  • E. Kim Young Sook
    Kim Young Sook is a North Korean woman best known as one of the wives of former North Korean leader Kim Jong Il.
  • 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_69bd4465e03081909bfcfd7113062590 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7aba05b48190b6a7fc52ab3532f0 completed March 20, 2026, 4:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69beeff49d708190a042dfab473a9646 completed March 21, 2026, 7:22 p.m.
NEDg Description generation batch_69bef309c230819094ed6ae3fefe6e5b completed March 21, 2026, 7:35 p.m.
NED2 Entity disambiguation (via description) batch_69bef36c88f4819082931dbe1bb13f89 completed March 21, 2026, 7:37 p.m.
Created at: March 20, 2026, 1:48 p.m.