Triple

T23490383
Position Surface form Disambiguated ID Type / Status
Subject Takarazuka Revue Company E570652 entity
Predicate oftenAdapts P22743 FINISHED
Object Western musicals 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: Western musicals | Statement: [Takarazuka Revue Company, oftenAdapts, Western musicals]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oftenAdapts
Context triple: [Takarazuka Revue Company, oftenAdapts, Western musicals]
  • A. moreAdaptiveThan
    Indicates that one entity is better able to adjust or respond effectively to changes or varying conditions than another entity.
  • B. isFrequentlyAdapted chosen
    Indicates that a work or source material is often transformed or re-created into new formats or versions, such as films, plays, or other media.
  • C. mayAdapt
    Indicates that one entity is permitted or allowed to modify, adjust, or alter another entity.
  • D. adaptationIn
    Indicates that something appears, is represented, or takes place within a particular adaptation of an original work.
  • E. adaptsBy
    Indicates that one entity changes, modifies, or adjusts itself, its behavior, or its form as a result of influence, guidance, or transformation performed 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7dba7388190a322ab059bb6522a completed April 29, 2026, 6:40 a.m.
PD Predicate disambiguation batch_69f0620ac3608190b36916261ea50f54 completed April 28, 2026, 7:30 a.m.
Created at: April 17, 2026, 6:04 p.m.