Triple

T12458321
Position Surface form Disambiguated ID Type / Status
Subject Billions E297718 entity
Predicate portrayedBy P1507 FINISHED
Object Asia Kate Dillon E328483 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: Asia Kate Dillon | Statement: [Billions, portrayedBy, Asia Kate Dillon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asia Kate Dillon
Context triple: [Billions, portrayedBy, Asia Kate Dillon]
  • A. Asia Kate Dillon chosen
    Asia Kate Dillon is an American actor known for their groundbreaking non-binary roles in film and television, including prominent appearances in major action franchises and prestige TV series.
  • B. Kaitlyn Dias
    Kaitlyn Dias is an American actress best known for voicing the character Riley Andersen in Pixar's animated film "Inside Out."
  • C. Kaitlyn Black
    Kaitlyn Black is an American actress best known for her role as Annabeth Nass on the television series "Hart of Dixie."
  • D. Katie Morgan
    Katie Morgan is a struggling single mother in the British social-realist film "I, Daniel Blake," whose experiences highlight the failures of the welfare system.
  • E. Mia Morgan
    Mia Morgan is a central character in the romantic comedy-drama film "The Best Man," around whom much of the story’s interpersonal conflict and emotional tension revolves.
  • 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_69d6ada270808190b1a2b2e7b02bb426 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da46a588190bc888fafd6d1eb5d completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ea710d481908371209cb92502a6 completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:56 p.m.