Triple

T32508093
Position Surface form Disambiguated ID Type / Status
Subject Huangmei opera E830854 entity
Predicate majorTroupe P198195 FINISHED
Object Anhui Huangmei Opera Theatre
Anhui Huangmei Opera Theatre is a leading Chinese performing arts troupe renowned for staging and promoting traditional Huangmei opera.
 E2009662 NE FINISHED

How this triple was built (3 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: Anhui Huangmei Opera Theatre | Statement: [Huangmei opera, majorTroupe, Anhui Huangmei Opera Theatre]
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: Anhui Huangmei Opera Theatre
Triple: [Huangmei opera, majorTroupe, Anhui Huangmei Opera Theatre]
Generated description
Anhui Huangmei Opera Theatre is a leading Chinese performing arts troupe renowned for staging and promoting traditional Huangmei opera.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: majorTroupe
Context triple: [Huangmei opera, majorTroupe, Anhui Huangmei Opera Theatre]
  • A. majorGroup
    Indicates that an entity belongs to or is classified under a primary or overarching group within a broader categorization.
  • B. majorSee
    Indicates that one entity serves as the primary or most important location where another entity is based, operates, or is centered.
  • C. majorSeries
    Indicates that one entity is a primary or central installment within a larger series or sequence of related works.
  • D. majorTeam
    Indicates that one entity is the primary or most significant team associated with another entity (such as a person, event, or organization).
  • E. majorFor
    Indicates that an academic program, field of study, or specialization is the primary major associated with a particular student or degree.
  • F. None of above. chosen

Provenance (7 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_69f3492318348190ba37fb6b5f1d67f4 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69fed09a12648190affcd9bacf7ca275 completed May 9, 2026, 6:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34705deb6c81909da3a17809c7af55 completed June 18, 2026, 10:25 p.m.
NEDg Description generation batch_6a3470eb59888190b257fd4bb4388959 completed June 18, 2026, 10:27 p.m.
NED2 Entity disambiguation (via description) batch_6a3471ad2e5081908317c104296eb386 completed June 18, 2026, 10:31 p.m.
PD Predicate disambiguation batch_69fecf91d6f481908deb60c965c433ed completed May 9, 2026, 6:09 a.m.
PDg Predicate description generation batch_69fed098328c819085979de6b179b378 completed May 9, 2026, 6:13 a.m.
Created at: May 1, 2026, 1 a.m.