Triple

T13728403
Position Surface form Disambiguated ID Type / Status
Subject Breaking the Waves E329725 entity
Predicate cinematographyBy P1953 FINISHED
Object Robbie Müller E614161 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: Robbie Müller | Statement: [Breaking the Waves, cinematographyBy, Robbie Müller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robbie Müller
Context triple: [Breaking the Waves, cinematographyBy, Robbie Müller]
  • A. Robbie Müller chosen
    Robbie Müller was a renowned Dutch cinematographer celebrated for his innovative, naturalistic visual style in influential art-house and independent films.
  • B. Markus Majowski
    Markus Majowski is a German actor and comedian known for his roles in film, television, and theater.
  • C. Michael Seitzman
    Michael Seitzman is an American screenwriter and producer known for his work on films such as "North Country" and for creating and producing several television series.
  • D. Michael Piccinini
    Michael Piccinini is an American businessman best known as the founder of the Save Mart Supermarkets grocery chain.
  • E. Sebastian Baden
    Sebastian Baden is a German art historian and curator who serves as director of the Schirn Kunsthalle in Frankfurt, one of Europe’s leading contemporary art institutions.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f746cc8190abde237bbb7e6c78 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d6302e081908e2680443852d9fd completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.