Triple

T5822911
Position Surface form Disambiguated ID Type / Status
Subject Miss Congeniality 2: Armed and Fabulous E129151 entity
Predicate character P662 FINISHED
Object Gracie Hart E562843 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: Gracie Hart | Statement: [Miss Congeniality 2: Armed and Fabulous, character, Gracie Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gracie Hart
Context triple: [Miss Congeniality 2: Armed and Fabulous, character, Gracie Hart]
  • A. Gracie Hart chosen
    Gracie Hart is a tough yet endearingly awkward FBI agent and former undercover beauty pageant contestant known for blending sharp investigative skills with comedic charm.
  • B. Gracie Kramer
    Gracie Kramer is a former UCLA Bruins gymnast known for her powerful floor routines and leadership as a standout collegiate athlete.
  • C. Torri Higginson
    Torri Higginson is a Canadian actress best known for her role as Dr. Elizabeth Weir on the science fiction television series Stargate Atlantis.
  • D. Gracie McGraw
    Gracie McGraw is an American singer and performer best known as the eldest daughter of country music stars Tim McGraw and Faith Hill.
  • E. Holly Rae Taylor
    Holly Rae Taylor is an American visual artist and the longtime partner of cartoonist and author Alison Bechdel.
  • 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0341715bc81909568b00ccc79869d completed March 22, 2026, 6:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11343ef288190922d6992e0519636 completed March 23, 2026, 10:17 a.m.
Created at: March 22, 2026, 3:53 p.m.