Triple

T14214423
Position Surface form Disambiguated ID Type / Status
Subject Suspiria (2018 film) E352310 entity
Predicate starredActor P5563 FINISHED
Object Angela Winkler E804693 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: Angela Winkler | Statement: [Suspiria (2018 film), starredActor, Angela Winkler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angela Winkler
Context triple: [Suspiria (2018 film), starredActor, Angela Winkler]
  • A. Angela Winkler chosen
    Angela Winkler is a German actress acclaimed for her powerful performances in film, television, and theater since the 1970s.
  • B. Erika Grünlich
    Erika Grünlich is a fictional character in Thomas Mann's novel "Buddenbrooks," known as the daughter of Tony Buddenbrook and a member of the declining Lübeck merchant family.
  • C. Paula Winkler
    Paula Winkler was a German-Jewish writer and intellectual who collaborated closely with her husband, the philosopher and theologian Martin Buber.
  • D. Judith Holzmeister
    Judith Holzmeister was an Austrian stage and film actress known for her prominent work at Vienna’s Burgtheater in the mid-20th century.
  • E. Michaela Dorfmeister
    Michaela Dorfmeister is a retired Austrian alpine ski racer renowned for winning multiple World Cup titles and Olympic gold medals in the early 2000s.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de620f07bc81909212dcd1c91b5f95 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bb5a64c81908cb8c50bbfa239a4 completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 1:06 a.m.