Triple

T12057631
Position Surface form Disambiguated ID Type / Status
Subject Son Kee-chung E287082 entity
Predicate ethnicGroup P194 FINISHED
Object Korean E488635 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: Korean | Statement: [Son Kee-chung, ethnicGroup, Korean]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korean
Context triple: [Son Kee-chung, ethnicGroup, Korean]
  • A. Korean
    Korean is an East Asian language spoken primarily in both North and South Korea, known for its unique Hangul writing system and distinct linguistic structure.
  • B. South Korean
    South Korean refers to a citizen or native of the Republic of Korea, a country in East Asia known for its advanced technology, pop culture, and rapid economic development.
  • C. Middle Korean
    Middle Korean is the historical form of the Korean language used roughly from the 10th to the 16th century, known from early written records and crucial for understanding the development of modern Korean.
  • D. Korean Chinese chosen
    Korean Chinese are ethnic Koreans who have historically migrated to and settled in China, forming a distinct minority community with blended Korean and Chinese cultural influences.
  • E. Hangul
    Hangul is the native alphabetic writing system of the Korean language, renowned for its scientific design and ease of learning.
  • 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_69d6ab4780948190bdb9f7620c2ac27e completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9043bf0ec8190a51ef2641808320c completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49dea043c8190a74ffb448bbae5d0 completed May 1, 2026, 12:34 p.m.
Created at: April 8, 2026, 9:47 p.m.