Triple

T5317414
Position Surface form Disambiguated ID Type / Status
Subject Miss Potter E121584 entity
Predicate title P38 FINISHED
Object Miss Potter E121584 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: Miss Potter | Statement: [Miss Potter, title, Miss Potter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miss Potter
Context triple: [Miss Potter, title, Miss Potter]
  • A. Miss Potter (2006 film) chosen
    Miss Potter (2006 film) is a biographical drama about children's author and illustrator Beatrix Potter, starring Renée Zellweger and Ewan McGregor.
  • B. Nanny and the Professor
    Nanny and the Professor is an early-1970s American sitcom about a magical British nanny who brings order and whimsy to a widowed professor’s household and his three children.
  • C. Muff Potter
    Muff Potter is a hapless, kind-hearted but often drunk vagrant and accused murderer in Mark Twain’s novel "The Adventures of Tom Sawyer."
  • D. Miss Read
    Miss Read was the pen name of English novelist Dora Jessie Saint, best known for her gentle, nostalgic novels depicting village life in the English countryside.
  • E. Bedknobs and Broomsticks
    Bedknobs and Broomsticks is a 1971 Disney live-action/animated musical fantasy film about an apprentice witch who uses magic to help defend Britain during World War II.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd855269ac8190bb7a9248d04f1823 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf1111f104819094d7646dec32fad2 completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:59 p.m.