Triple

T17163984
Position Surface form Disambiguated ID Type / Status
Subject Chung Ju-yung E416557 entity
Predicate givenName P17 FINISHED
Object Ju-yung
Ju-yung is the given name of Chung Ju-yung, the South Korean entrepreneur who founded the Hyundai Group conglomerate.
E1258248 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: Ju-yung | Statement: [Chung Ju-yung, givenName, Ju-yung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ju-yung
Context triple: [Chung Ju-yung, givenName, Ju-yung]
  • A. Yumi Jung
    Yumi Jung is a person notable enough to be recognized as a prominent bearer of the surname Jung.
  • B. Jo Yun-ok
    Jo Yun-ok is the wife of renowned Hong Kong martial artist, actor, and film director Sammo Hung.
  • C. Hae-in Jung
    Hae-in Jung is a South Korean actor known for his roles in television dramas and films.
  • D. Son Hwa-jung
    Son Hwa-jung was a key leader of the late 19th-century Donghak Peasant Rebellion in Korea, which sought social reform and resistance to corrupt officials and foreign influence.
  • E. Son Ki-jung
    Son Ki-jung was a Korean marathon runner who won the gold medal at the 1936 Berlin Olympics while competing for Japan under the name Son Kee-chung.
  • 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: Ju-yung
Triple: [Chung Ju-yung, givenName, Ju-yung]
Generated description
Ju-yung is the given name of Chung Ju-yung, the South Korean entrepreneur who founded the Hyundai Group conglomerate.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ju-yung
Target entity description: Ju-yung is the given name of Chung Ju-yung, the South Korean entrepreneur who founded the Hyundai Group conglomerate.
  • A. Yumi Jung
    Yumi Jung is a person notable enough to be recognized as a prominent bearer of the surname Jung.
  • B. Jo Yun-ok
    Jo Yun-ok is the wife of renowned Hong Kong martial artist, actor, and film director Sammo Hung.
  • C. Hae-in Jung
    Hae-in Jung is a South Korean actor known for his roles in television dramas and films.
  • D. Son Hwa-jung
    Son Hwa-jung was a key leader of the late 19th-century Donghak Peasant Rebellion in Korea, which sought social reform and resistance to corrupt officials and foreign influence.
  • E. Son Ki-jung
    Son Ki-jung was a Korean marathon runner who won the gold medal at the 1936 Berlin Olympics while competing for Japan under the name Son Kee-chung.
  • 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_69d886d279c081909f8ff1f743ddeb69 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f913c84481908bb5da8bcc6a2e62 completed April 18, 2026, 9:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a016745f32c81909499f71920e8babe completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a016bcdd19c81909fe5ffcc57c7c4d1 completed May 11, 2026, 5:40 a.m.
NED2 Entity disambiguation (via description) batch_6a016c5018e48190974c124c3433bcc6 completed May 11, 2026, 5:42 a.m.
Created at: April 10, 2026, 5:37 a.m.