Triple

T7726371
Position Surface form Disambiguated ID Type / Status
Subject Peking opera E175140 entity
Predicate hasRoleType P5518 FINISHED
Object Chou
Chou is the comic or clown role type in traditional Chinese Peking opera, known for its humorous, witty, and often satirical performances.
 E684777 NE FINISHED

How this triple was built (4 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: Chou | Statement: [Peking opera, hasRoleType, Chou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Chou
Context triple: [Peking opera, hasRoleType, Chou]
  • A. Chou
    Chou is a romanized spelling commonly used to represent the Japanese name "Chō" in English and other Latin-alphabet contexts.
  • B. Chuncho
    "Chuncho" is a musical piece featured on the album *Inca Taqui*, known for its incorporation of traditional Andean sounds and themes.
  • C. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • D. Bchamoun
    Bchamoun is a suburban town in Lebanon known for its strategic hilltop location overlooking Beirut and its role as a residential and commercial hub in the Mount Lebanon region.
  • E. Chabi
    Chabi was the influential empress consort of Kublai Khan, noted for her political counsel, patronage of Buddhism, and role in shaping the early Yuan dynasty.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Chou
Triple: [Peking opera, hasRoleType, Chou]
Generated description
Chou is the comic or clown role type in traditional Chinese Peking opera, known for its humorous, witty, and often satirical performances.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Chou
Target entity description: Chou is the comic or clown role type in traditional Chinese Peking opera, known for its humorous, witty, and often satirical performances.
  • A. Chou
    Chou is a romanized spelling commonly used to represent the Japanese name "Chō" in English and other Latin-alphabet contexts.
  • B. Chuncho
    "Chuncho" is a musical piece featured on the album *Inca Taqui*, known for its incorporation of traditional Andean sounds and themes.
  • C. Chun
    Chun is the given name of Peng Chun Chang, a prominent Chinese philosopher and diplomat who helped draft the Universal Declaration of Human Rights.
  • D. Bchamoun
    Bchamoun is a suburban town in Lebanon known for its strategic hilltop location overlooking Beirut and its role as a residential and commercial hub in the Mount Lebanon region.
  • E. Chabi
    Chabi was the influential empress consort of Kublai Khan, noted for her political counsel, patronage of Buddhism, and role in shaping the early Yuan dynasty.
  • F. None of above. chosen

Provenance (5 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_69c6995d541c81909eaa646b1a8369a9 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70314abb88190a7eaa519bd7398c9 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b523aeb481909d132509b56b5602 completed March 29, 2026, 5:14 a.m.
NEDg Description generation batch_69c8b5ae7e98819098f0f54dd95f8c9e completed March 29, 2026, 5:16 a.m.
NED2 Entity disambiguation (via description) batch_69c8b63c93b48190bab5314723ed4c24 completed March 29, 2026, 5:18 a.m.
Created at: March 27, 2026, 4:05 p.m.