Triple

T13119430
Position Surface form Disambiguated ID Type / Status
Subject Casey Cooke E311683 entity
Predicate portrayedBy P1507 FINISHED
Object Anya Taylor-Joy E79235 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: Anya Taylor-Joy | Statement: [Casey Cooke, portrayedBy, Anya Taylor-Joy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anya Taylor-Joy
Context triple: [Casey Cooke, portrayedBy, Anya Taylor-Joy]
  • A. Anya Taylor-Joy chosen
    Anya Taylor-Joy is an award-winning actress known for her breakout role in "The Queen's Gambit" and performances in films such as "The Witch," "Split," and "Last Night in Soho."
  • B. Katherine Langford
    Katherine Langford is an Australian actress best known for her breakout role in the Netflix series "13 Reasons Why" and subsequent work in film and television.
  • C. Maria Riva
    Maria Riva is a German-American actress and author best known as the daughter and biographer of film legend Marlene Dietrich.
  • D. Joey King
    Joey King is an American actress known for her roles in films such as "The Kissing Booth" series, "The Act," and various other television and movie projects.
  • E. Katherine Hoult
    Katherine Hoult is known as the spouse of Richard Mather.
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98196e69081909111407ee3d9f08e completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75d7cfe24819096e8f4cd496a6fd7 completed May 3, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:06 p.m.