Triple

T18985208
Position Surface form Disambiguated ID Type / Status
Subject Lexi Underwood E464537 entity
Predicate appearsIn P795 FINISHED
Object Sneakerella 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: Sneakerella | Statement: [Lexi Underwood, appearsIn, Sneakerella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sneakerella
Context triple: [Lexi Underwood, appearsIn, Sneakerella]
  • A. Sneakerella chosen
    Sneakerella is a modern, music-driven reimagining of the Cinderella story set in the sneaker culture of New York City.
  • B. The Shoe
    The Shoe is the massive, horseshoe-shaped football stadium at The Ohio State University in Columbus, Ohio, renowned as the home of the Buckeyes.
  • C. Sticky Shoes
    "Sticky Shoes" is a quirky, comedic song performed by the character Phoebe Buffay on the TV show Friends, exemplifying her offbeat musical style.
  • D. Heels
    Heels is a television drama series centered on the world of small-town professional wrestling and the personal and familial conflicts behind the scenes.
  • E. Heels
    Heels is a shortened nickname commonly used to refer to the University of North Carolina Tar Heels athletic teams and their supporters.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d65f7f08819088f56e8e030851b1 completed April 20, 2026, 7:31 a.m.
Created at: April 10, 2026, 12:01 p.m.