Triple

T13657049
Position Surface form Disambiguated ID Type / Status
Subject The Light Between Oceans E326887 entity
Predicate castMember P1668 FINISHED
Object Alicia Vikander E105501 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: Alicia Vikander | Statement: [The Light Between Oceans, castMember, Alicia Vikander]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alicia Vikander
Context triple: [The Light Between Oceans, castMember, Alicia Vikander]
  • A. Alicia Vikander chosen
    Alicia Vikander is a Swedish actress known for her acclaimed performances in films such as "Ex Machina," "The Danish Girl," and "Tomb Raider."
  • B. Mia Wasikowska
    Mia Wasikowska is an Australian actress known for her versatile performances in films such as "Alice in Wonderland," "Jane Eyre," and various independent dramas.
  • C. Jess Wasikowska
    Jess Wasikowska is a sibling of Australian actress Mia Wasikowska, known for her role in films such as "Alice in Wonderland."
  • D. Kai Wasikowska
    Kai Wasikowska is a sibling of Australian actress and filmmaker Mia Wasikowska, known for her roles in independent and mainstream films.
  • E. Brie Larson
    Brie Larson is an Academy Award–winning American actress known for her versatile performances in films such as Room, Captain Marvel, and Kong: Skull Island.
  • 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_69d8076d8270819092afc2f0e9c359a8 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc61d56e4819084ae3c16ecdf4a05 completed April 12, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a83eddac81909376c36452bfa38b completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:52 p.m.