Triple

T18952801
Position Surface form Disambiguated ID Type / Status
Subject Cai E463696 entity
Predicate hasVariantTransliteration P5923 FINISHED
Object Choy NE NERFINISHED

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: Choy | Statement: [Cai, hasVariantTransliteration, Choy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Choy
Context triple: [Cai, hasVariantTransliteration, Choy]
  • A. Chou
    Chou is the comic or clown role type in traditional Chinese Peking opera, known for its humorous, witty, and often satirical performances.
  • B. Chou chosen
    Chou is an alternative romanization of the Chinese surname and dynasty name commonly spelled "Zhou" in pinyin.
  • C. Chou
    Chou is a romanized spelling commonly used to represent the Japanese name "Chō" in English and other Latin-alphabet contexts.
  • D. Kook-Chun
    Kook-Chun is the family name of actor Shannon Kook, known for his roles in film and television.
  • E. Choi
    Choi is a Korean surname shared by many notable individuals across fields such as literature, entertainment, and academia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dcffc278819086792a4ebfddfafa completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d544fef8819091147189ddd89617 completed April 20, 2026, 7:27 a.m.
Created at: April 10, 2026, noon