Triple

T9889196
Position Surface form Disambiguated ID Type / Status
Subject Chinese opera E181412 entity
Predicate hasGenre P14 FINISHED
Object Jingju E175140 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: Jingju | Statement: [Chinese opera, hasGenre, Jingju]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jingju
Context triple: [Chinese opera, hasGenre, Jingju]
  • A. Peking opera chosen
    Peking opera is a traditional Chinese theatrical art form that combines stylized singing, speech, dance, and acrobatics with elaborate costumes and symbolic makeup.
  • B. Qinqiang
    Qinqiang is a traditional form of Chinese opera from Shaanxi province, known for its bold singing style, powerful percussion, and influence on later regional operatic genres.
  • C. Sichuan opera
    Sichuan opera is a regional form of Chinese opera from Sichuan province, famed for its lively music, acrobatics, and rapid face-changing (bian lian) performances.
  • D. Huangmei opera
    Huangmei opera is a traditional Chinese regional opera style from Anhui Province, known for its lyrical melodies, simple folk origins, and romantic storylines.
  • E. Hakka opera
    Hakka opera is a traditional Chinese theatrical form that combines singing, dialogue, martial arts, and folk storytelling, performed in the Hakka language and rooted in Hakka cultural heritage.
  • 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_69ca8283a6708190801af7a25a7ebb9f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb47be2988190811a99dc56ae542a completed April 2, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69d269c58bec8190bfba07c7ef3a91f8 completed April 5, 2026, 1:55 p.m.
Created at: March 30, 2026, 8:39 p.m.