Triple

T13728405
Position Surface form Disambiguated ID Type / Status
Subject Breaking the Waves E329725 entity
Predicate musicBy P1952 FINISHED
Object Joachim Holbek E547288 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: Joachim Holbek | Statement: [Breaking the Waves, musicBy, Joachim Holbek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joachim Holbek
Context triple: [Breaking the Waves, musicBy, Joachim Holbek]
  • A. Joachim Holbek chosen
    Joachim Holbek is a Danish composer best known for creating the musical score for Lars von Trier’s film "Dogville."
  • B. Vilhelm Dahlerup
    Vilhelm Dahlerup was a prominent 19th-century Danish architect known for his richly historicist style and major contributions to Copenhagen’s urban and cultural landmarks.
  • C. Hjalmar Kiærskou
    Hjalmar Kiærskou was a Danish botanist known for his taxonomic work and contributions to the study of Scandinavian and Mediterranean flora in the 19th century.
  • D. Niels Pagh Andersen
    Niels Pagh Andersen is a renowned Danish film editor known for his work on numerous acclaimed documentaries and feature films.
  • E. Aud Egede-Nissen
    Aud Egede-Nissen was a Norwegian silent film actress and producer known for her prolific work in early German cinema and appearances in influential films of the 1920s.
  • 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.