Triple

T1629463
Position Surface form Disambiguated ID Type / Status
Subject Cantonese opera E35223 entity
Predicate hasNarrativeSource P6847 FINISHED
Object Chinese classical literature 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: Chinese classical literature | Statement: [Cantonese opera, hasNarrativeSource, Chinese classical literature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNarrativeSource
Context triple: [Cantonese opera, hasNarrativeSource, Chinese classical literature]
  • A. hasNarrative
    Indicates that one entity contains, presents, or is associated with a story or narrative about another entity or subject.
  • B. containsNarrativeOf chosen
    Indicates that one entity includes or presents the story, account, or narrative content of another entity.
  • C. hasNarrativeRole
    Indicates that an entity participates in a narrative with a specific functional role (e.g., protagonist, antagonist, narrator) relative to the story.
  • D. narrativeSourceCharacter
    Indicates that a particular character serves as the source or narrator from whose perspective the narrative is presented.
  • E. supportsNarrativeOf
    Indicates that one entity provides evidence, context, or structure that upholds, reinforces, or advances the storyline or interpretive account expressed by another entity.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9431af5ac8190893133f1ae490142 completed March 5, 2026, 8:47 a.m.
PD Predicate disambiguation batch_69a907c91c888190b6ed295c1a2e0977 completed March 5, 2026, 4:34 a.m.
Created at: March 4, 2026, 7:28 p.m.