Triple

T16074839
Position Surface form Disambiguated ID Type / Status
Subject Climbing Mount Improbable E389955 entity
Predicate illustratedBy P2386 FINISHED
Object Lalla Ward E357154 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: Lalla Ward | Statement: [Climbing Mount Improbable, illustratedBy, Lalla Ward]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lalla Ward
Context triple: [Climbing Mount Improbable, illustratedBy, Lalla Ward]
  • A. Lalla Ward chosen
    Lalla Ward is an English actress and author best known for playing the Time Lady Romana in the long-running British science fiction series Doctor Who.
  • B. Melora Walters
    Melora Walters is an American actress known for her intense, emotionally charged performances in films such as "The Butterfly Effect" and several Paul Thomas Anderson movies.
  • C. Catherine Durkan
    Catherine Durkan is a notable individual associated with the Durkan family name, recognized as a bearer of this surname.
  • D. Elisabeth Waterston
    Elisabeth Waterston is an American actress known for her work in film, television, and theater, and as a member of the Waterston acting family.
  • E. Heather Menzies
    Heather Menzies was a Canadian-born actress best known for playing Louisa von Trapp in the classic film "The Sound of Music."
  • 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_69d86daf32ec8190a8c0466c8f49c3c0 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183c0e4388190b4b9b86e1c38f184 completed April 17, 2026, 12:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe48715e48190a493d1e373dc7c5f completed May 10, 2026, 1:51 a.m.
Created at: April 10, 2026, 4:57 a.m.