Triple

T15959139
Position Surface form Disambiguated ID Type / Status
Subject Art3mis E387011 entity
Predicate portrayedBy P1507 FINISHED
Object Olivia Cooke E407073 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: Olivia Cooke | Statement: [Art3mis, portrayedBy, Olivia Cooke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olivia Cooke
Context triple: [Art3mis, portrayedBy, Olivia Cooke]
  • A. Olivia Cooke chosen
    Olivia Cooke is an English actress known for her roles in films like "Ready Player One" and the TV series "Bates Motel" and "House of the Dragon."
  • B. Kyliegh Curran
    Kyliegh Curran is an American actress best known for her roles in the horror film "Doctor Sleep" and the Netflix series "The Fall of the House of Usher."
  • 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. Olivia DeJonge
    Olivia DeJonge is an Australian actress known for her role as Priscilla Presley in Baz Luhrmann’s 2022 biographical film "Elvis."
  • E. Natalia Dyer
    Natalia Dyer is an American actress best known for her role as Nancy Wheeler in the Netflix science fiction-horror series "Stranger Things."
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156fe82d081908b5d41bc5a709de2 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a002d982788819082fcdd8ab5c80513 completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 4:53 a.m.