Triple

T23490366
Position Surface form Disambiguated ID Type / Status
Subject Takarazuka Revue Company E570652 entity
Predicate hasDivision P35 FINISHED
Object Snow Troupe 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: Snow Troupe | Statement: [Takarazuka Revue Company, hasDivision, Snow Troupe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Snow Troupe
Context triple: [Takarazuka Revue Company, hasDivision, Snow Troupe]
  • A. Snow Troupe chosen
    Snow Troupe is one of the main all-female performance troupes of the Takarazuka Revue, known for its elegant, classic-style musical and theatrical productions.
  • B. Troupe
    Troupe is a surname most notably associated with Quincy Troupe, an acclaimed American poet, editor, and professor.
  • C. Vilna Troupe
    The Vilna Troupe was an influential early 20th-century Yiddish theater company renowned for its innovative, art-theater approach and for premiering works like S. An-sky’s "The Dybbuk."
  • D. The Snowths
    The Snowths are pink, horned, cone-shaped Muppet creatures best known for backing Mahna Mahna with their repetitive “do-doo-do-do-do” chorus.
  • E. Flower Troupe
    Flower Troupe is one of the main all-female performance troupes of Japan’s Takarazuka Revue, known for its elegant, classical style of musical theater productions.
  • 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_69e245b0b01481908f636939bedd804c completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a7dba7388190a322ab059bb6522a completed April 29, 2026, 6:40 a.m.
Created at: April 17, 2026, 6:04 p.m.