Triple

T2651026
Position Surface form Disambiguated ID Type / Status
Subject Son Kee-chung E53897 entity
Predicate ethnicGroup P194 FINISHED
Object Korean E113436 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. 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.
  • C. Hangul
    Hangul is the native alphabetic writing system of the Korean language, renowned for its scientific design and ease of learning.
  • D. Hanja
    Hanja is the set of traditional Chinese characters historically used to write Korean, especially for proper names, academic terms, and classical texts.
  • E. Koreans chosen
    Koreans are an East Asian ethnic group with a shared language, culture, and history, primarily associated with the nations of North Korea and South Korea.
  • 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_69ab495e192081909c77b622e8e7e15a completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd92f5f508190b4ca396c3f399e93 completed March 7, 2026, 7:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69af98cc2d9881908556b915a1870c02 completed March 10, 2026, 4:06 a.m.
Created at: March 6, 2026, 9:53 p.m.