Triple

T15908031
Position Surface form Disambiguated ID Type / Status
Subject Katz's Delicatessen E385771 entity
Predicate appearsIn P795 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: [Katz's Delicatessen, appearsIn, Enchanted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Enchanted
Context triple: [Katz's Delicatessen, appearsIn, 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 (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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1565c11bc819091b1fd85901a832d completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb055307081908a13c98a0e16780c completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.