Triple

T14040790
Position Surface form Disambiguated ID Type / Status
Subject E85 E337838 entity
Predicate designer P184 FINISHED
Object Anders Warming E1050489 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: Anders Warming | Statement: [E85, designer, Anders Warming]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anders Warming
Context triple: [E85, designer, Anders Warming]
  • A. Anders Warming chosen
    Anders Warming is a Danish automobile designer best known for his work with BMW and MINI, where he led the design of several notable models.
  • B. Ingvard Eversen Nielsen
    Ingvard Eversen Nielsen was the father of Canadian-American actor and comedian Leslie Nielsen.
  • C. Anders W. Berthelsen
    Anders W. Berthelsen is a Danish actor known for his work in film and television, particularly within Scandinavian cinema.
  • D. 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.
  • E. Knut Vollebæk
    Knut Vollebæk is a Norwegian diplomat and former foreign minister known for his work in international conflict prevention and minority rights.
  • 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_69d81c664e48819088cbd8f433aeffe5 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de311814e48190adb637e1c97c0658 completed April 14, 2026, 12:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd099b7788190a7c309dba450e58f completed May 7, 2026, 5:49 p.m.
Created at: April 9, 2026, 10:20 p.m.