Triple

T13791664
Position Surface form Disambiguated ID Type / Status
Subject Bring It On E331412 entity
Predicate hasCharacter P2308 FINISHED
Object Missy Pantone E986903 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: Missy Pantone | Statement: [Bring It On, hasCharacter, Missy Pantone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Missy Pantone
Context triple: [Bring It On, hasCharacter, Missy Pantone]
  • A. Missy Pantone chosen
    Missy Pantone is a rebellious, tough-minded cheerleader and gymnast from the film "Bring It On," known for challenging the status quo of her squad.
  • B. Paris Morgan
    Paris Morgan is the popular high-school love interest portrayed by Christina Milian in the 2003 teen romantic comedy film "Love Don't Cost a Thing."
  • C. Isabeli Fontana
    Isabeli Fontana is a Brazilian supermodel known for her work with major fashion brands and appearances in high-profile magazines and campaigns.
  • D. Rose Dione
    Rose Dione was a French-born actress active in early American silent cinema, known for character roles in films such as the 1921 adaptation of "Little Lord Fauntleroy."
  • E. Elizabeth Pomada
    Elizabeth Pomada is an American author and historian best known for popularizing San Francisco’s colorful Victorian houses through her influential work on the “Painted Ladies.”
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0258a1408190a837d17c6d6a2bd4 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b0817bd88190a46e539f2ff24d83 completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 10:11 p.m.