Triple

T9060759
Position Surface form Disambiguated ID Type / Status
Subject Nutcracker Prince E217114 entity
Predicate enemyOf P437 FINISHED
Object Mouse King E217116 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: Mouse King | Statement: [Nutcracker Prince, enemyOf, Mouse King]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mouse King
Context triple: [Nutcracker Prince, enemyOf, Mouse King]
  • A. Mouse King chosen
    The Mouse King is the villainous rodent monarch who leads an army of mice against the Nutcracker and Clara in the classic holiday ballet story.
  • B. Magic Rat
    Magic Rat is a fictional character from Bruce Springsteen's song "Jungleland," depicted as a streetwise, tragic figure in the song's urban narrative.
  • C. Puss-Feller
    Puss-Feller is a fictional organization or establishment associated with the character Quarrel in the James Bond universe.
  • D. Moppet
    Moppet is one of the mischievous kitten siblings in Beatrix Potter’s children’s story "The Tale of Tom Kitten."
  • E. Big the Cat
    Big the Cat is a large, laid-back purple feline from the Sonic the Hedgehog series, known for his fishing hobby and simple, easygoing personality.
  • 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.