Triple

T3065735
Position Surface form Disambiguated ID Type / Status
Subject Top of the Lake E62099 entity
Predicate starredActor P5563 FINISHED
Object Gwendoline Christie E49521 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: Gwendoline Christie | Statement: [Top of the Lake, starredActor, Gwendoline Christie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gwendoline Christie
Context triple: [Top of the Lake, starredActor, Gwendoline Christie]
  • A. Gwendoline Christie chosen
    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.
  • B. Lena Headey
    Lena Headey is an English actress best known for playing Cersei Lannister in the television series "Game of Thrones."
  • C. Naomie Harris
    Naomie Harris is a British actress known for her versatile film roles, including portraying Winnie Mandela in "Mandela: Long Walk to Freedom" and Eve Moneypenny in the James Bond franchise.
  • D. Emilia Clarke
    Emilia Clarke is an English actress best known for her role as Daenerys Targaryen in the television series "Game of Thrones."
  • E. Rebecca Ferguson
    Rebecca Ferguson is a Swedish actress known for her versatile performances in films such as the Mission: Impossible series, The Greatest Showman, and Dune.
  • 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_69ad85793e5c8190a358049bc4a98d8c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada0fc01dc81908fbdf7c1ef73afe4 completed March 8, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef1402108190a2d24e7eb523f658 completed March 11, 2026, 10:39 p.m.
Created at: March 8, 2026, 3:02 p.m.