Triple

T3250644
Position Surface form Disambiguated ID Type / Status
Subject Game of Thrones season 1 E68167 entity
Predicate mainCastMember P5563 FINISHED
Object Sophie Turner E230969 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: Sophie Turner | Statement: [Game of Thrones season 1, mainCastMember, Sophie Turner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophie Turner
Context triple: [Game of Thrones season 1, mainCastMember, Sophie Turner]
  • A. Sophie Turner chosen
    Sophie Turner is an English actress best known for her role as Sansa Stark in the television series "Game of Thrones."
  • B. Emilia Clarke
    Emilia Clarke is an English actress best known for her role as Daenerys Targaryen in the television series "Game of Thrones."
  • C. Saskia Reeves
    Saskia Reeves is a British actress known for her work in film, television, and theatre, including roles in series such as "Luther" and numerous acclaimed stage productions.
  • D. Nathalie Emmanuel
    Nathalie Emmanuel is a British actress best known for her roles as Missandei in "Game of Thrones" and Ramsey in the "Fast & Furious" film franchise.
  • E. Jodie Comer
    Jodie Comer is an English actress best known for her critically acclaimed, chameleonic performance as assassin Villanelle in the television series "Killing Eve."
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf40f7908190a450c3136fccb020 completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2776d5e108190a4db748c98fc8316 completed March 12, 2026, 8:21 a.m.
Created at: March 8, 2026, 3:09 p.m.