Triple

T28126917
Position Surface form Disambiguated ID Type / Status
Subject Yue opera E710952 entity
Predicate roleSystem P12085 FINISHED
Object sheng (male role) LITERAL 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: sheng (male role) | Statement: [Yue opera, roleSystem, sheng (male role)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: roleSystem
Context triple: [Yue opera, roleSystem, sheng (male role)]
  • A. roleComponent
    Indicates that one entity functions as a component or constituent part within the role or capacity defined by another entity.
  • B. systemRole chosen
    Indicates the functional position or responsibility that an entity holds within a larger system or structure.
  • C. authorityRole
    Indicates that one entity holds an official position or role that grants it authority or control over another entity or within a specific context.
  • D. rulesSystem
    Indicates that an entity establishes, governs, or defines the rules or structure by which another system or process operates.
  • E. roleAccordingTo
    Indicates that an entity holds a particular role or function as defined or interpreted by a specified source or perspective.
  • F. None of above.

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_69ef9b73bd288190a21ae3d6aa14f386 completed April 27, 2026, 5:22 p.m.
NER Named-entity recognition batch_69f640fd4f1c8190906450e47fb29281 completed May 2, 2026, 6:22 p.m.
PD Predicate disambiguation batch_69f63c6a8474819091b8c6fe98e3862d completed May 2, 2026, 6:03 p.m.
Created at: April 27, 2026, 9:20 p.m.