Triple

T20995005
Position Surface form Disambiguated ID Type / Status
Subject The Truth About Cats & Dogs E517123 entity
Predicate character P662 FINISHED
Object Noelle Slusarsky NE NERFINISHED

How this triple was built (3 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: Noelle Slusarsky | Statement: [The Truth About Cats & Dogs, character, Noelle Slusarsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Noelle Slusarsky
Context triple: [The Truth About Cats & Dogs, character, Noelle Slusarsky]
  • A. Karly Skladany
    Karly Skladany is an American marketing professional and television personality best known as the wife of *NSYNC singer Chris Kirkpatrick.
  • B. Lauren Dolgen
    Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
  • C. Jenna Norris
    Jenna Norris is a fictional character known as the daughter of glamorous romance novelist Felicia Gallant on the soap opera "Another World."
  • D. Hayley Shanowski
    Hayley Shanowski is a teenage daughter character on the American sitcom "Hope & Faith," known for navigating typical adolescent challenges amid her family's comedic chaos.
  • E. Makenzy Doniak
    Makenzy Doniak is an American professional soccer forward known for her standout collegiate career at the University of Virginia and subsequent play in the National Women's Soccer League.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Noelle Slusarsky
Target entity description: Noelle Slusarsky is a supporting character in the romantic comedy film "The Truth About Cats & Dogs," involved in the story’s themes of mistaken identity and modern relationships.
  • A. Karly Skladany
    Karly Skladany is an American marketing professional and television personality best known as the wife of *NSYNC singer Chris Kirkpatrick.
  • B. Lauren Dolgen
    Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
  • C. Jenna Norris
    Jenna Norris is a fictional character known as the daughter of glamorous romance novelist Felicia Gallant on the soap opera "Another World."
  • D. Hayley Shanowski
    Hayley Shanowski is a teenage daughter character on the American sitcom "Hope & Faith," known for navigating typical adolescent challenges amid her family's comedic chaos.
  • E. Makenzy Doniak
    Makenzy Doniak is an American professional soccer forward known for her standout collegiate career at the University of Virginia and subsequent play in the National Women's Soccer League.
  • F. None of above. chosen

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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc1e75188190a97114238ea0b4f9 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:50 p.m.