Triple

T9060977
Position Surface form Disambiguated ID Type / Status
Subject Grand Pas de Deux E217119 entity
Predicate featuresRole P268 FINISHED
Object Sugar Plum Fairy E217115 NE 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: Sugar Plum Fairy | Statement: [Grand Pas de Deux, featuresRole, Sugar Plum Fairy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sugar Plum Fairy
Context triple: [Grand Pas de Deux, featuresRole, Sugar Plum Fairy]
  • A. Sugar Plum Fairy chosen
    The Sugar Plum Fairy is a central, regal ballerina role in Tchaikovsky’s ballet "The Nutcracker," known for its technically demanding, lyrical solos and iconic pas de deux.
  • B. Sleigh Ride
    "Sleigh Ride" is a popular light orchestral Christmas piece, often performed with lyrics, that has become a holiday music standard.
  • C. Silver Bells
    "Silver Bells" is a classic Christmas song widely associated with the holiday season and frequently included on festive albums.
  • D. The Christmas Waltz
    "The Christmas Waltz" is a classic holiday song, famously associated with Frank Sinatra and widely covered as a seasonal standard.
  • E. Sugarplum's Sweet Shop
    Sugarplum's Sweet Shop is a wizarding confectionery in the Harry Potter universe, famed for its magical sweets and treats sold to witches and wizards.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7ecbb1e88190acdbfccdd975fac1 completed April 1, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebf4b9348190a7f01c64098c25f7 completed April 3, 2026, 4:33 p.m.
Created at: March 30, 2026, 7:11 p.m.