Triple

T4581849
Position Surface form Disambiguated ID Type / Status
Subject The Jutland Post E101871 entity
Predicate employerOf P7 FINISHED
Object Flemming Rose E447300 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: Flemming Rose | Statement: [The Jutland Post, employerOf, Flemming Rose]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Flemming Rose
Context triple: [The Jutland Post, employerOf, Flemming Rose]
  • A. Flemming Rose chosen
    Flemming Rose is a Danish journalist and author best known for commissioning the controversial Muhammad cartoons published in Jyllands-Posten in 2005.
  • B. Knut Vollebæk
    Knut Vollebæk is a Norwegian diplomat and former foreign minister known for his work in international conflict prevention and minority rights.
  • C. Morten Søborg
    Morten Søborg is a Danish cinematographer known for his visually striking work on acclaimed films such as "In a Better World."
  • D. Kristian Levring
    Kristian Levring is a Danish film director and screenwriter known for his visually striking, often bleak dramas and as one of the co-founders of the Dogme 95 movement.
  • E. Ingvard Eversen Nielsen
    Ingvard Eversen Nielsen was the father of Canadian-American actor and comedian Leslie Nielsen.
  • 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_69bd43d4ce208190b53158c882b222e3 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd590116e88190b8495b2a78cf3fb6 completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfa2bfb1081909253a7d7519efc3e completed March 21, 2026, 1:53 a.m.
Created at: March 20, 2026, 1:10 p.m.