Triple

T17890440
Position Surface form Disambiguated ID Type / Status
Subject Flemming Rose E447300 entity
Predicate employer P7 FINISHED
Object Jyllands-Posten 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: Jyllands-Posten | Statement: [Flemming Rose, employer, Jyllands-Posten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jyllands-Posten
Context triple: [Flemming Rose, employer, Jyllands-Posten]
  • A. Jyllands-Posten chosen
    Jyllands-Posten is a major Danish daily newspaper known internationally for its influential political coverage and for sparking global debate over freedom of expression.
  • B. Aftonbladet
    Aftonbladet is one of Sweden’s largest and most influential daily newspapers, known for its tabloid format and extensive online presence.
  • C. Ekstra Bladet
    Ekstra Bladet is a Danish tabloid newspaper known for its sensationalist journalism, bold headlines, and focus on crime, scandal, and entertainment news.
  • D. Politiken
    Politiken is a leading Danish daily newspaper known for its national and international news coverage, cultural reporting, and liberal editorial stance.
  • E. Svenska Dagbladet
    Svenska Dagbladet is a major Swedish daily newspaper known for its national and international news coverage, opinion pieces, and cultural reporting.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d7828b481909b645fceb37a7ca3 completed April 19, 2026, 9:16 a.m.
Created at: April 10, 2026, 10:18 a.m.