Triple

T3971326
Position Surface form Disambiguated ID Type / Status
Subject Autumn Sonata E92340 entity
Predicate hasCastMember P2308 FINISHED
Object Liv Ullmann E252827 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: Liv Ullmann | Statement: [Autumn Sonata, hasCastMember, Liv Ullmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liv Ullmann
Context triple: [Autumn Sonata, hasCastMember, Liv Ullmann]
  • A. Liv Ullmann chosen
    Liv Ullmann is a renowned Norwegian actress and director, celebrated for her intense performances in Ingmar Bergman’s films and her significant contributions to international cinema.
  • B. Pernilla August
    Pernilla August is a Swedish actress and director best known internationally for playing Shmi Skywalker, Anakin Skywalker’s mother, in the Star Wars prequel films.
  • C. Hanna Schygulla
    Hanna Schygulla is a renowned German actress and singer, best known as a muse of director Rainer Werner Fassbinder and a prominent figure of New German Cinema.
  • D. Thilde Benz
    Thilde Benz was one of the children of German engineer and automobile pioneer Karl Benz.
  • E. Ingrid Bergman
    Ingrid Bergman was an acclaimed Swedish actress and three-time Academy Award winner best known for her luminous performances in classic films such as "Casablanca" and "Notorious."
  • 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_69aed96624188190ac8c45bb57ab72b5 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef995d27881908b24a5b2ef57455f completed March 9, 2026, 4:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c443e208190a8bf83ec642a142e completed March 14, 2026, 11:53 a.m.
Created at: March 9, 2026, 3:32 p.m.