Triple

T14372059
Position Surface form Disambiguated ID Type / Status
Subject Lee Kun-hee E356380 entity
Predicate givenName P17 FINISHED
Object Kun-hee
Kun-hee is the given name of Lee Kun-hee, the influential South Korean businessman who transformed Samsung into a global technology leader.
E1097763 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: Kun-hee | Statement: [Lee Kun-hee, givenName, Kun-hee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kun-hee
Context triple: [Lee Kun-hee, givenName, Kun-hee]
  • A. Ji-yeong
    Ji-yeong is a tragic supporting character in the Netflix series "Squid Game," known for her poignant friendship with Kang Sae-byeok and her self-sacrificial choice during the marbles game.
  • B. Maeng-hee
    Maeng-hee is a Korean given name, notably borne by individuals such as businessman Lee Maeng-hee.
  • C. Jihae
    Jihae is a South Korean singer, songwriter, and actress known for her role in the National Geographic science-fiction series "Mars."
  • D. Soyeon
    Soyeon is a Korean-born interpreter and the wife of former German Chancellor Gerhard Schröder.
  • 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: Kun-hee
Triple: [Lee Kun-hee, givenName, Kun-hee]
Generated description
Kun-hee is the given name of Lee Kun-hee, the influential South Korean businessman who transformed Samsung into a global technology leader.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kun-hee
Target entity description: Kun-hee is the given name of Lee Kun-hee, the influential South Korean businessman who transformed Samsung into a global technology leader.
  • A. Ji-yeong
    Ji-yeong is a tragic supporting character in the Netflix series "Squid Game," known for her poignant friendship with Kang Sae-byeok and her self-sacrificial choice during the marbles game.
  • B. Maeng-hee
    Maeng-hee is a Korean given name, notably borne by individuals such as businessman Lee Maeng-hee.
  • C. Jihae
    Jihae is a South Korean singer, songwriter, and actress known for her role in the National Geographic science-fiction series "Mars."
  • D. Soyeon
    Soyeon is a Korean-born interpreter and the wife of former German Chancellor Gerhard Schröder.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8fb2082c8190b42cc5f2bab4f574 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd551002948190aeb93d245e1449a7 completed May 8, 2026, 3:14 a.m.
NEDg Description generation batch_69fd575167e48190a7a014ba80433b9d completed May 8, 2026, 3:24 a.m.
NED2 Entity disambiguation (via description) batch_69fd57a6711881909429bba35ee867c6 completed May 8, 2026, 3:25 a.m.
Created at: April 10, 2026, 1:15 a.m.