Triple

T9426291
Position Surface form Disambiguated ID Type / Status
Subject Speak Now E227271 entity
Predicate track P17929 FINISHED
Object Enchanted E145439 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: Enchanted | Statement: [Speak Now, track, Enchanted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enchanted
Context triple: [Speak Now, track, Enchanted]
  • A. Enchanted chosen
    Enchanted is a 2007 Disney live-action/animated musical fantasy film that playfully subverts classic fairy-tale tropes as an animated princess is transported into modern-day New York City.
  • B. Enchanted
    "Enchanted" is a popular 1959 doo-wop ballad by The Platters, known for its romantic lyrics and smooth vocal harmonies.
  • C. Disenchanted
    Disenchanted is a musical fantasy comedy film that serves as the sequel to Disney’s Enchanted, continuing the story of Giselle in a suburban happily-ever-after gone wrong.
  • D. Enchant
    Enchant is an American progressive rock band known for its melodic, guitar-driven sound and intricate song structures.
  • 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_69ca8436ba308190903e470776d2d893 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd7c908738819081df35c632f35f04 completed April 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69d107da6aa88190a015ee4a6eea2a4a completed April 4, 2026, 12:45 p.m.
Created at: March 30, 2026, 7:49 p.m.