Triple

T23411419
Position Surface form Disambiguated ID Type / Status
Subject David Henry Hwang E560077 entity
Predicate notableWork P4 FINISHED
Object Chinglish 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: Chinglish | Statement: [David Henry Hwang, notableWork, Chinglish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chinglish
Context triple: [David Henry Hwang, notableWork, Chinglish]
  • A. Chinglish chosen
    Chinglish is a stage play by David Henry Hwang that explores cross-cultural misunderstandings and language barriers between American and Chinese characters in a comedic yet incisive way.
  • B. Chinuk Wawa
    Chinuk Wawa is a historical pidgin and trade language of the Pacific Northwest that developed among Indigenous peoples, European settlers, and others for intergroup communication.
  • C. Chinese Pidgin English
    Chinese Pidgin English is a historical contact language that developed between English and Chinese speakers, primarily for trade and communication in port cities such as Canton and Shanghai.
  • D. Lingo
    Lingo is a scripting language primarily known for powering interactive multimedia applications and games in Adobe (formerly Macromedia) Director.
  • E. Hanyu
    Hanyu is a Chinese given name shared by various individuals, including notable figures in fields such as acting, sports, 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_69e2454b3a5881909c64773dc8a5d289 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1a51183bc8190bd4860607b26b4b2 completed April 29, 2026, 6:28 a.m.
Created at: April 17, 2026, 5:38 p.m.