Triple

T10975208
Position Surface form Disambiguated ID Type / Status
Subject Daisy Ridley E259351 entity
Predicate characterPortrayed P1507 FINISHED
Object Trudy Ederle E35842 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: Trudy Ederle | Statement: [Daisy Ridley, characterPortrayed, Trudy Ederle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trudy Ederle
Context triple: [Daisy Ridley, characterPortrayed, Trudy Ederle]
  • A. Gertrude Ederle chosen
    Gertrude Ederle was an American competitive swimmer who became the first woman to swim across the English Channel, breaking the existing men's record in 1926.
  • B. Casermo Ederle
    Caserma Ederle is a major U.S. Army installation in Vicenza, Italy, serving as a key hub for American military operations and support in Europe and Africa.
  • C. Louise Arner Boyd
    Louise Arner Boyd was an American explorer and photographer renowned for her pioneering Arctic expeditions in the early 20th century.
  • D. Mildred Watkins
    Mildred Watkins was the wife of American politician and baseball commissioner Happy Chandler.
  • E. Eileen Soper
    Eileen Soper was a British illustrator and etcher best known for her lively illustrations in Enid Blyton’s children’s books.
  • 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_69d6aa895f4c8190887a15460ef622f4 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d771f4e888819097433271a2f45ff3 completed April 9, 2026, 9:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d7aeb66c8190b9d18642b2ad2ea0 completed April 18, 2026, 1 a.m.
Created at: April 8, 2026, 9:24 p.m.