Triple

T23548657
Position Surface form Disambiguated ID Type / Status
Subject Everest E577974 entity
Predicate castMember P1668 FINISHED
Object Elizabeth Debicki 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: Elizabeth Debicki | Statement: [Everest, castMember, Elizabeth Debicki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elizabeth Debicki
Context triple: [Everest, castMember, Elizabeth Debicki]
  • A. Elizabeth Debicki chosen
    Elizabeth Debicki is an Australian actress known for her striking performances in films and series such as "The Great Gatsby," "The Night Manager," and "The Crown."
  • B. Anouk McGregor
    Anouk McGregor is one of the daughters of Scottish actor Ewan McGregor and French-Greek production designer Eve Mavrakis.
  • C. Claire Fox
    Claire Fox is a British politician, writer, and former Brexit Party MEP known for her libertarian views and commentary on free speech and civil liberties.
  • D. Carmen Ejogo
    Carmen Ejogo is a British actress and singer known for her versatile film and television roles, including her acclaimed portrayal of Coretta Scott King in the historical drama "Selma."
  • E. Ruby Rose
    Ruby Rose is an Australian model, DJ, and actress known for her androgynous style and roles in action films and television series such as "Orange Is the New Black."
  • 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_69e245fa93448190919cb04534560542 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1aecc2af08190aec07cf9126d4e72 completed April 29, 2026, 7:10 a.m.
Created at: April 17, 2026, 6:11 p.m.