Triple

T16129478
Position Surface form Disambiguated ID Type / Status
Subject Louisa von Trapp E391355 entity
Predicate portrayedBy P1507 FINISHED
Object Heather Menzies E446666 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: Heather Menzies | Statement: [Louisa von Trapp, portrayedBy, Heather Menzies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heather Menzies
Context triple: [Louisa von Trapp, portrayedBy, Heather Menzies]
  • A. Heather Menzies chosen
    Heather Menzies was a Canadian-born actress best known for playing Louisa von Trapp in the classic film "The Sound of Music."
  • B. Tessa Menzies
    Tessa Menzies is a child of California politician and governor Gavin Newsom.
  • C. 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.
  • D. Alison Fraser
    Alison Fraser is an American actress and singer best known for her work in musical theatre, including multiple Tony-nominated performances on Broadway.
  • E. Margot Kerr
    Margot Kerr is the wife of NBA coach and former player Steve Kerr, known primarily for her long-standing, private support of his basketball career.
  • 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_69d87f1bb0988190b490d273dbf3fd03 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e202075860819088d27d921609a6ce completed April 17, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003548837c819091695a91f88bd0bc completed May 10, 2026, 7:35 a.m.
Created at: April 10, 2026, 5:01 a.m.