Triple

T22192964
Position Surface form Disambiguated ID Type / Status
Subject Rachel Covey E548475 entity
Predicate notableWork P4 FINISHED
Object Enchanted NE NERFINISHED

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: [Rachel Covey, notableWork, Enchanted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enchanted
Context triple: [Rachel Covey, notableWork, 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. Enchanted
    "Enchanted" is a fan-favorite ballad by Taylor Swift, celebrated for its romantic, fairy-tale imagery and emotional storytelling on her album *Speak Now*.
  • D. Enchanted
    Enchanted is an episode of the television series "Friday Night Lights," a drama centered on high school football and small-town life in Texas.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae552908190b38c3d765bcfb68a completed April 28, 2026, 9:47 p.m.
Created at: April 16, 2026, 8:35 p.m.