Triple

T17163981
Position Surface form Disambiguated ID Type / Status
Subject Chung Ju-yung E416557 entity
Predicate name P16 FINISHED
Object Chung Ju-yung E416557 NE FINISHED

How this triple was built (2 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: Chung Ju-yung | Statement: [Chung Ju-yung, name, Chung Ju-yung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chung Ju-yung
Context triple: [Chung Ju-yung, name, Chung Ju-yung]
  • A. Chung Ju-yung chosen
    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. Hwang Jang-suk
    Hwang Jang-suk is the wife of acclaimed South Korean actor Song Kang-ho.
  • C. Paik Sun-yup
    Paik Sun-yup was a South Korean army general renowned for his pivotal leadership during the Korean War and for helping to modernize South Korea’s armed forces.
  • D. Choi Yong-gon
    Choi Yong-gon was a Korean independence activist and military leader who later became a prominent North Korean politician, serving as the country's head of state.
  • E. Koo Bon-moo
    Koo Bon-moo was a South Korean businessman best known for serving as the long-time chairman of LG Group and transforming it into a global electronics and chemicals conglomerate.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_6a01afdbdb8c81908dd95e0445e98306 completed May 11, 2026, 10:30 a.m.
Created at: April 10, 2026, 5:37 a.m.