Triple

T22026073
Position Surface form Disambiguated ID Type / Status
Subject Alexander Kielland E543965 entity
Predicate notableWork P4 FINISHED
Object Arbeidsfolk 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: Arbeidsfolk | Statement: [Alexander Kielland, notableWork, Arbeidsfolk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arbeidsfolk
Context triple: [Alexander Kielland, notableWork, Arbeidsfolk]
  • A. Arbeidsfolk chosen
    Arbeidsfolk is a naturalist short story collection by Norwegian author Alexander Kielland that portrays the harsh social and working conditions of 19th-century laborers.
  • B. The Worker
    "The Worker" is a 1932 philosophical and political treatise by Ernst Jünger that explores the figure of the worker as the central type of a new, technologically driven and militarized modern age.
  • C. Funcionários
    Funcionários is a central and upscale neighborhood in Belo Horizonte, Brazil, known for its historic avenues, commercial activity, and cultural landmarks.
  • D. Verket
    Verket is a small locality within the municipality of Hurum in Norway, known for its scenic coastal setting along the Oslofjord.
  • E. Die Werkself
    Die Werkself is the popular nickname of German football club Bayer 04 Leverkusen, reflecting its roots as a team founded by workers at the Bayer pharmaceutical company.
  • 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_69e11e2e8ea4819084210fe06d3a1b8d completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127cba61c8190a48ec2c1ee1315b0 completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.