Triple

T7644214
Position Surface form Disambiguated ID Type / Status
Subject Kristoff E173080 entity
Predicate firstAppearance P795 FINISHED
Object Frozen (2013 film) E32172 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: Frozen (2013 film) | Statement: [Kristoff, firstAppearance, Frozen (2013 film)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frozen (2013 film)
Context triple: [Kristoff, firstAppearance, Frozen (2013 film)]
  • A. Frozen
    "Frozen" is a 1998 atmospheric electronic-pop ballad by Madonna, known for its dark, cinematic sound and striking music video that marked a stylistic reinvention in her career.
  • B. Frozen chosen
    Frozen is a hugely popular 2013 Disney animated musical film that follows two royal sisters, Elsa and Anna, and features the hit song "Let It Go."
  • C. Blancanieves
    Blancanieves is a 2012 Spanish silent black-and-white fantasy drama film that reimagines the Snow White fairy tale in 1920s Spain.
  • D. Frozen II
    Frozen II is a 2019 animated musical fantasy film from Disney that continues the story of sisters Anna and Elsa as they uncover the origins of Elsa’s powers and the history of their kingdom.
  • E. Tangled
    Tangled is a 2010 Disney animated musical fantasy film that reimagines the Rapunzel fairy tale with a blend of comedy, adventure, and computer-generated animation.
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faf13858819095262664e1e04eb7 completed March 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8de9d63908190b1adc84e5123b9c0 completed March 29, 2026, 8:11 a.m.
Created at: March 27, 2026, 3:58 p.m.