Triple

T5663157
Position Surface form Disambiguated ID Type / Status
Subject Bjørnstjerne Bjørnson E124792 entity
Predicate notableWork P4 FINISHED
Object Arne
Arne is a novella by Norwegian writer and Nobel laureate Bjørnstjerne Bjørnson, often regarded as a key work in 19th-century Norwegian literature for its portrayal of rural life and psychological depth.
 E538006 NE FINISHED

How this triple was built (4 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: Arne | Statement: [Bjørnstjerne Bjørnson, notableWork, Arne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arne
Context triple: [Bjørnstjerne Bjørnson, notableWork, Arne]
  • A. Arne
    Arne is a Scandinavian masculine given name commonly used in Norway, Sweden, and Denmark.
  • B. Ornes
    Ornes is a French village in the Meuse department that was completely destroyed during the Battle of Verdun in World War I and left as an uninhabited memorial site.
  • C. Arve
    The Arve is a river in southwestern Switzerland and southeastern France that flows through Geneva before joining the Rhône.
  • D. Borge
    Borge is a district and former municipality that is now part of the city of Fredrikstad in southeastern Norway.
  • E. Årnes
    Årnes is a small Norwegian town situated along the Glomma River, known as a local administrative and commercial center in Nes municipality in Viken county.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Arne
Triple: [Bjørnstjerne Bjørnson, notableWork, Arne]
Generated description
Arne is a novella by Norwegian writer and Nobel laureate Bjørnstjerne Bjørnson, often regarded as a key work in 19th-century Norwegian literature for its portrayal of rural life and psychological depth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arne
Target entity description: Arne is a novella by Norwegian writer and Nobel laureate Bjørnstjerne Bjørnson, often regarded as a key work in 19th-century Norwegian literature for its portrayal of rural life and psychological depth.
  • A. Arne
    Arne is a Scandinavian masculine given name commonly used in Norway, Sweden, and Denmark.
  • B. Ornes
    Ornes is a French village in the Meuse department that was completely destroyed during the Battle of Verdun in World War I and left as an uninhabited memorial site.
  • C. Arve
    The Arve is a river in southwestern Switzerland and southeastern France that flows through Geneva before joining the Rhône.
  • D. Borge
    Borge is a district and former municipality that is now part of the city of Fredrikstad in southeastern Norway.
  • E. Årnes
    Årnes is a small Norwegian town situated along the Glomma River, known as a local administrative and commercial center in Nes municipality in Viken county.
  • F. None of above. chosen

Provenance (5 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_69c00828906881908966f270b8f130cf completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023232e6481909b2a0456d240fe8e completed March 22, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04da9d2548190b7fc4a0341938aec completed March 22, 2026, 8:14 p.m.
NEDg Description generation batch_69c04edf30448190a60eda49b8b031a0 completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04fb62690819083327781cb857ccc completed March 22, 2026, 8:23 p.m.
Created at: March 22, 2026, 3:43 p.m.