Triple

T22656442
Position Surface form Disambiguated ID Type / Status
Subject Aqua E559238 entity
Predicate hasPart P35 FINISHED
Object Søren Rasted 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: Søren Rasted | Statement: [Aqua, hasPart, Søren Rasted]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Søren Rasted
Context triple: [Aqua, hasPart, Søren Rasted]
  • A. Søren Rasted chosen
    Søren Rasted is a Danish musician, songwriter, and producer best known as a founding member of the pop group Aqua.
  • B. Peter Aalbæk Jensen
    Peter Aalbæk Jensen is a Danish film producer and co-founder of the influential production company Zentropa, known for his collaborations with prominent directors such as Lars von Trier.
  • C. Morten Ristorp
    Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
  • D. Jesper Nøhr
    Jesper Nøhr is a Danish software developer and entrepreneur best known for creating the code hosting platform Bitbucket.
  • E. Søren Stærmose
    Søren Stærmose is a Danish film producer best known for his work on adaptations of Stieg Larsson’s Millennium series, including The Girl with the Dragon Tattoo.
  • 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_69e245489dd88190b1f674acf61c8769 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765b93dc8190a0357dd4b6ae524a completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:06 p.m.