Triple

T14355995
Position Surface form Disambiguated ID Type / Status
Subject Cloud Atlas E355971 entity
Predicate mainCastMember P5563 FINISHED
Object Doona Bae E865452 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: Doona Bae | Statement: [Cloud Atlas, mainCastMember, Doona Bae]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Doona Bae
Context triple: [Cloud Atlas, mainCastMember, Doona Bae]
  • A. Doona Bae chosen
    Doona Bae is a South Korean actress known internationally for her roles in films like "The Host" and "Cloud Atlas" and in television series such as "Sense8."
  • B. Jodie Dallas
    Jodie Dallas is a groundbreaking gay television character from the sitcom "Soap," known for being one of the first openly gay main characters on American network TV.
  • C. Rutanya Alda
    Rutanya Alda is a Latvian-American character actress known for her roles in films such as "The Deer Hunter," "Mommie Dearest," and numerous other horror and drama movies.
  • D. Maya Van Dien
    Maya Van Dien is the daughter of American actress Catherine Oxenberg and actor Casper Van Dien.
  • E. Veanne Cox
    Veanne Cox is an American actress and singer known for her work in musical theatre, film, and television, often recognized for her comedic and character roles.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8f519bf881908615f4d47e0f77aa completed April 14, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c473fa48190866ab946971e971c completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:15 a.m.