Triple

T18596608
Position Surface form Disambiguated ID Type / Status
Subject Musikhuset Aarhus E454508 entity
Predicate architect P184 FINISHED
Object Kjær & Richter 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: Kjær & Richter | Statement: [Musikhuset Aarhus, architect, Kjær & Richter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kjær & Richter
Context triple: [Musikhuset Aarhus, architect, Kjær & Richter]
  • A. Kjaer & Richter chosen
    Kjaer & Richter is a Danish architectural firm known for designing notable public and cultural buildings, including contemporary art museums.
  • B. Rieter-Biedermann
    Rieter-Biedermann was a 19th-century music publishing house known for issuing significant works by major composers, including Johannes Brahms.
  • C. Petit & Fritsen
    Petit & Fritsen is a historic Dutch bell foundry renowned for casting church bells and carillons used in notable towers and monuments worldwide.
  • D. Kohl-Richter
    Kohl-Richter is the hyphenated surname of Maike Kohl-Richter, the second wife of former German Chancellor Helmut Kohl.
  • E. E.S. Mittler & Sohn
    E.S. Mittler & Sohn is a historic German publishing house known for its military and technical literature.
  • 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_69d8d38ae7e081908a98df1251842402 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5474ce0c08190b440cbe86b6ef7b9 completed April 19, 2026, 9:21 p.m.
Created at: April 10, 2026, 11:44 a.m.