Triple

T19411124
Position Surface form Disambiguated ID Type / Status
Subject Broker E485589 entity
Predicate featuresCharacter P626 FINISHED
Object Sang-hyun
Sang-hyun is a central character in the South Korean film "Broker," involved in an illicit baby box scheme that explores themes of family, morality, and redemption.
E1379346 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: Sang-hyun | Statement: [Broker, featuresCharacter, Sang-hyun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sang-hyun
Context triple: [Broker, featuresCharacter, Sang-hyun]
  • A. Seonghwan
    Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
  • B. Jinhae
    Jinhae is a coastal district in Changwon, South Korea, best known for its large naval base and famous annual cherry blossom festival.
  • C. Chung-ho
    Chung-ho is the former romanized name of Zhonghe District, a populous urban district in New Taipei City, Taiwan.
  • D. Sung-kyu
    Sung-kyu is a Korean given name commonly used for males.
  • E. Seungkwan
    Seungkwan is a South Korean singer and main vocalist of the K-pop boy group Seventeen, known for his powerful vocals, variety show presence, and bright personality.
  • 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: Sang-hyun
Triple: [Broker, featuresCharacter, Sang-hyun]
Generated description
Sang-hyun is a central character in the South Korean film "Broker," involved in an illicit baby box scheme that explores themes of family, morality, and redemption.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sang-hyun
Target entity description: Sang-hyun is a central character in the South Korean film "Broker," involved in an illicit baby box scheme that explores themes of family, morality, and redemption.
  • A. Seonghwan
    Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
  • B. Jinhae
    Jinhae is a coastal district in Changwon, South Korea, best known for its large naval base and famous annual cherry blossom festival.
  • C. Chung-ho
    Chung-ho is the former romanized name of Zhonghe District, a populous urban district in New Taipei City, Taiwan.
  • D. Sung-kyu
    Sung-kyu is a Korean given name commonly used for males.
  • E. Seungkwan
    Seungkwan is a South Korean singer and main vocalist of the K-pop boy group Seventeen, known for his powerful vocals, variety show presence, and bright personality.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e62af4cc0c81909056b5e2ee574ab1 completed April 20, 2026, 1:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07470ba3ec8190aaedf1f4056769fe completed May 15, 2026, 4:17 p.m.
NEDg Description generation batch_6a07482641588190bb63c21a2d5013ca completed May 15, 2026, 4:21 p.m.
NED2 Entity disambiguation (via description) batch_6a0748f20a4c81909f6a596a27ca7581 completed May 15, 2026, 4:25 p.m.
Created at: April 10, 2026, 1:37 p.m.