Triple

T20173428
Position Surface form Disambiguated ID Type / Status
Subject Human Jukebox marching band E492026 entity
Predicate hasSubunit P747 FINISHED
Object Dancing Dolls 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: Dancing Dolls | Statement: [Human Jukebox marching band, hasSubunit, Dancing Dolls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dancing Dolls
Context triple: [Human Jukebox marching band, hasSubunit, Dancing Dolls]
  • A. Dancing Dolls chosen
    Dancing Dolls is the high-energy, precision dance team and majorette squad that performs alongside Southern University's Human Jukebox marching band.
  • B. Dolls
    "Dolls" is a 1960s Swedish erotic drama film directed by Mac Ahlberg, known for its exploration of sexual relationships and psychological tension.
  • C. Dolls
    "Dolls" is a 1987 Italian horror anthology film directed by Stuart Gordon that follows a group of travelers who encounter sinister living dolls in a secluded mansion.
  • D. Serenade for the Doll
    Serenade for the Doll is a gentle, lyrical piano piece by Claude Debussy, best known as one of the miniature character pieces in his Children’s Corner suite.
  • E. F-ve Dolls
    F-ve Dolls was a South Korean girl group known for its dance-pop music and association with the larger Coed School project.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6684a33688190b22cfc16907e76bc completed April 20, 2026, 5:54 p.m.
Created at: April 11, 2026, 11:35 p.m.