Triple

T3499063
Position Surface form Disambiguated ID Type / Status
Subject Disney E73919 entity
Predicate notableWork P4 FINISHED
Object Frozen 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 | Statement: [Disney, notableWork, Frozen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frozen
Context triple: [Disney, notableWork, Frozen]
  • 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. 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.
  • D. Frozen Four
    The Frozen Four is the annual semifinal and final weekend of the NCAA Division I men's ice hockey tournament, determining the national collegiate champion.
  • E. Blancanieves
    Blancanieves is a 2012 Spanish silent black-and-white fantasy drama film that reimagines the Snow White fairy tale in 1920s Spain.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd3ad548190abbfae820bf3b66d completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373d2ef9c819087458a0ac02d4596 completed March 13, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:18 p.m.