Triple

T22656443
Position Surface form Disambiguated ID Type / Status
Subject Aqua E559238 entity
Predicate hasPart P35 FINISHED
Object Claus Norreen 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: Claus Norreen | Statement: [Aqua, hasPart, Claus Norreen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Claus Norreen
Context triple: [Aqua, hasPart, Claus Norreen]
  • A. Claus Norreen chosen
    Claus Norreen is a Danish musician best known as the keyboardist and producer for the pop group Aqua, famous for their late-1990s Eurodance hits.
  • B. Carsten Norgaard
    Carsten Norgaard is a Danish actor known for his roles in international film and television, often appearing in genre and action-oriented projects.
  • C. Waldemar Thorsen
    Waldemar Thorsen is the central protagonist of the work "Gift," around whom the story’s main events and character development revolve.
  • D. Henning Schellerup
    Henning Schellerup was an American cinematographer and occasional director known for his work on low-budget genre films and television movies in the 1970s and 1980s.
  • E. Niels Torp
    Niels Torp is a Norwegian architect known for designing prominent public and commercial buildings in Norway and abroad.
  • 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.