Triple

T18482012
Position Surface form Disambiguated ID Type / Status
Subject Aubrey O’Day E451583 entity
Predicate name P16 FINISHED
Object Aubrey O’Day 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: Aubrey O’Day | Statement: [Aubrey O’Day, name, Aubrey O’Day]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aubrey O’Day
Context triple: [Aubrey O’Day, name, Aubrey O’Day]
  • A. Aubrey O’Day chosen
    Aubrey O’Day is an American singer, reality television personality, and former member of the pop girl group Danity Kane, known for her work in music and appearances on shows like "Making the Band."
  • B. Aubrey Haynie
    Aubrey Haynie is an American bluegrass and country fiddler and mandolinist known for his virtuosic session work and solo recordings.
  • C. Aubrey Grange
    Aubrey Grange is a person notable enough to be recognized as a bearer of the surname Grange, though specific widely known public details about them are not readily available.
  • D. Megan Fairchild
    Megan Fairchild is an acclaimed American ballet dancer and principal with New York City Ballet, known for her virtuosity in both classical and contemporary roles.
  • E. Aubrey Wisberg
    Aubrey Wisberg was an American screenwriter, producer, and director known for his work on mid-20th-century films, particularly in the adventure and science fiction genres.
  • 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_69d8d38465a0819099b9b42d2a662ac1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e531d49a1881908cc2ad6132953c96 completed April 19, 2026, 7:49 p.m.
Created at: April 10, 2026, 11:35 a.m.