Triple

T20022376
Position Surface form Disambiguated ID Type / Status
Subject Andrea McArdle E494895 entity
Predicate notableRole P22 FINISHED
Object Annie 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: Annie | Statement: [Andrea McArdle, notableRole, Annie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annie
Context triple: [Andrea McArdle, notableRole, Annie]
  • A. Annie
    Annie is the young protagonist of the 1991 horror-comedy film "Critters 3," who leads the fight for survival against the alien creatures attacking her apartment building.
  • B. Annie
    Annie is a Norwegian pop singer and DJ known for her stylish, electro-pop sound and influential presence in the early 2000s dance and indie scenes.
  • C. Annie
    Annie is a central child protagonist in the science-themed children's book series "George's Secret Key to the Universe," where she joins George on educational space adventures.
  • D. Annie
    Annie is a fictional character who serves as the primary antagonist and "mortal enemy" of the narrator in the work *My Mortal Enemy*.
  • E. Annie chosen
    Annie is a popular Broadway musical, later adapted into a film, about an optimistic orphan girl in 1930s New York.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66288fc18819083833b55c5e069a6 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:35 p.m.