Triple

T4666978
Position Surface form Disambiguated ID Type / Status
Subject Rush (2013 film) E102868 entity
Predicate starredActor P5563 FINISHED
Object Olivia Wilde E119269 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 Wilde | Statement: [Rush (2013 film), starredActor, Olivia Wilde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olivia Wilde
Context triple: [Rush (2013 film), starredActor, Olivia Wilde]
  • A. Olivia Wilde chosen
    Olivia Wilde is an American actress and filmmaker known for her roles in film and television, including the medical drama "House" and for directing the acclaimed film "Booksmart."
  • B. Olivia Thirlby
    Olivia Thirlby is an American actress known for her roles in films such as "Juno," "Dredd," and various independent and mainstream productions.
  • C. Olivia Cooke
    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."
  • D. Angourie Rice
    Angourie Rice is an Australian actress known for her breakout role in "The Nice Guys" and for appearing in films such as "Spider-Man: Homecoming" and "Spider-Man: Far From Home."
  • E. Maria Riva
    Maria Riva is a German-American actress and author best known as the daughter and biographer of film legend Marlene Dietrich.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd633d87788190a3c8946ed6995062 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be104a596c8190903c208c892da186 completed March 21, 2026, 3:28 a.m.
Created at: March 20, 2026, 1:15 p.m.