Triple

T8978674
Position Surface form Disambiguated ID Type / Status
Subject Santino Fontana E214464 entity
Predicate voiceRole P12691 FINISHED
Object Prince Hans in Frozen E677931 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: Prince Hans in Frozen | Statement: [Santino Fontana, voiceRole, Prince Hans in Frozen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince Hans in Frozen
Context triple: [Santino Fontana, voiceRole, Prince Hans in Frozen]
  • A. Prince Hans chosen
    Prince Hans is the charming yet treacherous antagonist from Disney's Frozen, who deceitfully schemes to seize control of the kingdom of Arendelle.
  • B. Elsa
    Elsa is a feminine given name of Germanic origin, widely recognized today through its use for the main character in Disney's animated film "Frozen."
  • C. Ice King
    Ice King is a major character in the animated series "Adventure Time," known as an eccentric, lonely ice wizard who often kidnaps princesses and serves as a tragicomic antagonist.
  • D. Ice King
    Ice King is the nickname of Frederick Tudor, a 19th-century American entrepreneur who pioneered the international ice trade by shipping harvested ice worldwide.
  • E. Anna and Elsa
    Anna and Elsa are the popular sister protagonists from Disney's animated film "Frozen," known for their roles as the Snow Queen and the princess of Arendelle.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a4b3e88190b778a9b5589cab6d completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc96e7eb48190a3df410b1544b997 completed April 3, 2026, 2:06 p.m.
Created at: March 30, 2026, 7:03 p.m.