Triple

T20996945
Position Surface form Disambiguated ID Type / Status
Subject Fanny and Alexander E517173 entity
Predicate editedBy P1954 FINISHED
Object Sylvia Ingemarsson NE NERFINISHED

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: Sylvia Ingemarsson | Statement: [Fanny and Alexander, editedBy, Sylvia Ingemarsson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvia Ingemarsson
Context triple: [Fanny and Alexander, editedBy, Sylvia Ingemarsson]
  • A. Sylvia Ingemarsson chosen
    Sylvia Ingemarsson is a film editor best known for her work on Ingmar Bergman’s drama "Autumn Sonata."
  • B. Ingrid Almqvist
    Ingrid Almqvist was a Swedish javelin thrower who competed internationally in the mid-20th century, including at the Olympic Games.
  • C. Gunilla Andersson
    Gunilla Andersson is a Swedish former ice hockey player known for being one of the key defenders on Sweden’s national women’s team and a multiple-time Olympic and World Championship medalist.
  • D. Gunilla Nilsson
    Gunilla Nilsson is a Swedish former middle-distance runner known for competing internationally during the 1960s and 1970s.
  • E. Agneta Eckemyr
    Agneta Eckemyr was a Swedish actress and model known for her work in European cinema and appearances in international fashion magazines during the 1970s and 1980s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc21838081909872eed21bc12a08 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:51 p.m.