Triple

T9889189
Position Surface form Disambiguated ID Type / Status
Subject Chinese opera E181412 entity
Predicate hasGenre P14 FINISHED
Object Kunqu E684775 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: Kunqu | Statement: [Chinese opera, hasGenre, Kunqu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunqu
Context triple: [Chinese opera, hasGenre, Kunqu]
  • A. Kunqu chosen
    Kunqu is one of the oldest and most refined forms of Chinese opera, known for its elegant singing style, poetic librettos, and graceful movement, and is recognized by UNESCO as a Masterpiece of the Oral and Intangible Heritage of Humanity.
  • 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. Yuan Quan
    Yuan Quan is a Chinese actress and singer known for her acclaimed performances in film, television, and theater.
  • D. Yingqin
    Yingqin is the given name of He Yingqin, a prominent Chinese Nationalist military leader and politician of the early 20th century.
  • E. Jiaoqu
    Jiaoqu is an urban district that forms part of the prefecture-level city of Tongling in Anhui Province, China.
  • 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_69d1eb08075c81908e017df8048daba8 completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:39 p.m.