Triple

T13883629
Position Surface form Disambiguated ID Type / Status
Subject Christopher Plummer (singing voice dubbed) E333779 entity
Predicate sangInStyle P52654 FINISHED
Object classical-influenced musical theatre 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: classical-influenced musical theatre | Statement: [Christopher Plummer (singing voice dubbed), sangInStyle, classical-influenced musical theatre]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sangInStyle
Context triple: [Christopher Plummer (singing voice dubbed), sangInStyle, classical-influenced musical theatre]
  • A. fashionStyle
    Indicates the characteristic way in which an entity dresses or presents themselves in terms of clothing and appearance.
  • B. styledCelebrity
    Indicates that one entity (typically a stylist or source) is responsible for selecting or creating the fashion or appearance of a celebrity.
  • C. styleTendsTo
    Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
  • D. styleInFull
    Indicates that something is presented, written, or expressed in its complete, unabbreviated, or fully detailed form.
  • E. styleCategory chosen
    Indicates the stylistic classification or genre category that an item, work, or entity belongs to.
  • 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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a101488190bd790b28033d38b9 completed April 14, 2026, 11:23 a.m.
PD Predicate disambiguation batch_69de05972f3881909977b4c843984f88 completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:15 p.m.