Triple

T31050076
Position Surface form Disambiguated ID Type / Status
Subject American musical theatre E791236 entity
Predicate hasNotableComposerLyricist P4321 FINISHED
Object Richard Rodgers NE NERFINISHED

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: Richard Rodgers | Statement: [American musical theatre, hasNotableComposerLyricist, Richard Rodgers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableComposerLyricist
Context triple: [American musical theatre, hasNotableComposerLyricist, Richard Rodgers]
  • A. hasNotableComposer chosen
    Indicates that an entity is associated with a composer who is recognized as particularly significant or distinguished.
  • B. hasComposerLyricistTeam
    Indicates a relationship where a musical work is associated with a specific team that jointly fulfills the roles of composer and lyricist.
  • C. notableLyricist
    Indicates that the subject is a lyricist who is particularly distinguished or well-known for their work.
  • D. hasPrimarySongwriter
    Indicates that one entity serves as the main or principal songwriter responsible for creating the songs associated with another entity.
  • E. hasMusicalComposer
    Indicates that one entity serves as the musical composer responsible for creating the music associated with 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_69f224cb08908190ba71ad9aa87518ed completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_6a0076c0a5c4819088b17b95511b93ed completed May 10, 2026, 12:14 p.m.
PD Predicate disambiguation batch_6a007638a67c81909c091335142260ab completed May 10, 2026, 12:12 p.m.
Created at: April 29, 2026, 9 p.m.