Triple

T10353536
Position Surface form Disambiguated ID Type / Status
Subject Myung-whun Chung E243940 entity
Predicate nativeName P15 FINISHED
Object 정명훈
정명훈은 세계적인 명성을 지닌 한국 출신의 지휘자이자 피아니스트이다.
 E857011 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: 정명훈 | Statement: [Myung-whun Chung, nativeName, 정명훈]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 정명훈
Context triple: [Myung-whun Chung, nativeName, 정명훈]
  • A. Lee Byung-chul
    Lee Byung-chul was a South Korean entrepreneur and industrialist best known as the founder of the Samsung business empire, which grew into one of the world’s largest conglomerates.
  • B. Hwang Jun-ho
    Hwang Jun-ho is a determined police officer in the South Korean series "Squid Game" who infiltrates the deadly competition to uncover the truth behind its operations and find his missing brother.
  • C. Jang Young-hwan
    Jang Young-hwan is a South Korean film producer best known for his work on the Academy Award–winning film "Parasite."
  • D. An Chang-ho
    An Chang-ho was a prominent Korean independence activist, educator, and nationalist leader who played a key role in shaping modern Korean identity and reform movements in the early 20th century.
  • E. Shim Joong-bo
    Shim Joong-bo is a Catholic prelate known for having ordained Lázaro You Heung-sik, a prominent Korean cardinal in the Roman Catholic Church.
  • 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: 정명훈
Triple: [Myung-whun Chung, nativeName, 정명훈]
Generated description
정명훈은 세계적인 명성을 지닌 한국 출신의 지휘자이자 피아니스트이다.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 정명훈
Target entity description: 정명훈은 세계적인 명성을 지닌 한국 출신의 지휘자이자 피아니스트이다.
  • A. Lee Byung-chul
    Lee Byung-chul was a South Korean entrepreneur and industrialist best known as the founder of the Samsung business empire, which grew into one of the world’s largest conglomerates.
  • B. Hwang Jun-ho
    Hwang Jun-ho is a determined police officer in the South Korean series "Squid Game" who infiltrates the deadly competition to uncover the truth behind its operations and find his missing brother.
  • C. Jang Young-hwan
    Jang Young-hwan is a South Korean film producer best known for his work on the Academy Award–winning film "Parasite."
  • D. An Chang-ho
    An Chang-ho was a prominent Korean independence activist, educator, and nationalist leader who played a key role in shaping modern Korean identity and reform movements in the early 20th century.
  • E. Shim Joong-bo
    Shim Joong-bo is a Catholic prelate known for having ordained Lázaro You Heung-sik, a prominent Korean cardinal in the Roman Catholic Church.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e952c878819084e5d7a593a3f9e9 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7509c50d48190a567d9613a062efc completed April 9, 2026, 7:09 a.m.
NEDg Description generation batch_69d75133588c819093af59327b951cd7 completed April 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69d751d94a7081909fbe78fb6f76aef5 completed April 9, 2026, 7:14 a.m.
Created at: April 6, 2026, 11:58 a.m.