Triple

T691352
Position Surface form Disambiguated ID Type / Status
Subject Solo: A Star Wars Story E13798 entity
Predicate mainCastMember P5563 FINISHED
Object Emilia Clarke E49606 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: Emilia Clarke | Statement: [Solo: A Star Wars Story, mainCastMember, Emilia Clarke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emilia Clarke
Context triple: [Solo: A Star Wars Story, mainCastMember, Emilia Clarke]
  • A. Emilia Clarke chosen
    Emilia Clarke is an English actress best known for her role as Daenerys Targaryen in the television series "Game of Thrones."
  • B. Gwendoline Christie
    Gwendoline Christie is an English actress best known for her role as Brienne of Tarth in the television series "Game of Thrones" and as Captain Phasma in the "Star Wars" sequel trilogy.
  • C. Romola Garai
    Romola Garai is an English actress known for her performances in period dramas and literary adaptations in film and television.
  • D. Miranda Otto
    Miranda Otto is an Australian actress best known for playing Éowyn in Peter Jackson’s The Lord of the Rings film trilogy.
  • E. Rooney Mara
    Rooney Mara is an American actress known for her acclaimed performances in films such as "The Girl with the Dragon Tattoo" and "Carol."
  • 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_69a493406c408190957eeec9048a8fb6 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a0aebde88190a49d421477713103 completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d6ed1f881909fea81ce4308075b completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:36 p.m.