Triple

T20611433
Position Surface form Disambiguated ID Type / Status
Subject Bonnier family E506456 entity
Predicate associatedWith P37 FINISHED
Object Expressen 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: Expressen | Statement: [Bonnier family, associatedWith, Expressen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Expressen
Context triple: [Bonnier family, associatedWith, Expressen]
  • A. Expressen chosen
    Expressen is a major Swedish daily tabloid newspaper known for its national coverage, opinion pieces, and investigative journalism.
  • B. The Express
    The Express is a sports drama film that tells the inspiring true story of Ernie Davis, the first African American to win the Heisman Trophy.
  • C. L’Express
    L’Express is a major French weekly news magazine known for its political and intellectual commentary.
  • D. Expresso
    Expresso is an ostrich character who serves as a rideable animal companion in the Donkey Kong Country video game series, allowing players to run quickly and glide over obstacles.
  • E. Daily Express
    The Daily Express is a long-running British national tabloid newspaper known for its conservative stance, sensationalist headlines, and significant influence on UK popular and political discourse.
  • 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_69e0b4bb2b4081908fa4a72444120f35 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aad81bdc8190aa6f6164f406a468 completed April 20, 2026, 10:38 p.m.
Created at: April 16, 2026, 11:41 a.m.