Triple

T21993967
Position Surface form Disambiguated ID Type / Status
Subject Ullman E543155 entity
Predicate hasNotableBearer P458 FINISHED
Object Liv Ullmann 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: Liv Ullmann | Statement: [Ullman, hasNotableBearer, Liv Ullmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liv Ullmann
Context triple: [Ullman, hasNotableBearer, 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. Ingrid Thulin
    Ingrid Thulin was a renowned Swedish actress best known for her intense, emotionally complex performances in several of Ingmar Bergman’s classic films.
  • C. 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.
  • D. 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.
  • E. Sandra Hüller
    Sandra Hüller is an acclaimed German actress known for her powerful performances in films such as "Toni Erdmann" and "Anatomy of a Fall."
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127639bf48190800b3fa3c1527983 completed April 28, 2026, 9:32 p.m.
Created at: April 16, 2026, 8:17 p.m.