Triple

T17972790
Position Surface form Disambiguated ID Type / Status
Subject Flemming Ørnskov E449388 entity
Predicate name P16 FINISHED
Object Flemming Ørnskov 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: Flemming Ørnskov | Statement: [Flemming Ørnskov, name, Flemming Ørnskov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flemming Ørnskov
Context triple: [Flemming Ørnskov, name, Flemming Ørnskov]
  • A. Flemming Ørnskov chosen
    Flemming Ørnskov is a Danish physician and business executive best known for serving as CEO of the rare-disease biopharmaceutical company Shire plc.
  • B. Morten Ristorp
    Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
  • C. Knut Vollebæk
    Knut Vollebæk is a Norwegian diplomat and former foreign minister known for his work in international conflict prevention and minority rights.
  • D. Ingvard Eversen Nielsen
    Ingvard Eversen Nielsen was the father of Canadian-American actor and comedian Leslie Nielsen.
  • E. Ole Hassager
    Ole Hassager is a Danish chemical engineer and rheologist known for his contributions to the study of complex fluid mechanics and coauthoring influential texts in the field.
  • 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_69d8b9f9927c8190a006110c8b996e61 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b1fca04481908f0dd875953fd82f completed April 19, 2026, 10:44 a.m.
Created at: April 10, 2026, 10:22 a.m.