Triple

T15312623
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Guest E366074 entity
Predicate notableWork P4 FINISHED
Object Frozen E890260 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: [Nicholas Guest, notableWork, Frozen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frozen
Context triple: [Nicholas Guest, 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
    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 (1997 film) chosen
    Frozen (1997 film) is a 1997 British drama thriller film best known for featuring an early leading performance by actress Shirley Henderson.
  • E. Frozen III
    Frozen III is the upcoming third main installment in Disney's hugely popular Frozen animated film series, continuing the adventures of sisters Anna and Elsa in the kingdom 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_69d85a113ee881908e297a1d38dd79fa completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03cd2d5a88190aead748920f93d47 completed April 16, 2026, 1:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8a3da3881909b50cfbec0543adc completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 3:16 a.m.