Triple

T23548875
Position Surface form Disambiguated ID Type / Status
Subject Arne Wilhelmsen E577981 entity
Predicate givenName P17 FINISHED
Object Arne 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: Arne | Statement: [Arne Wilhelmsen, givenName, Arne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arne
Context triple: [Arne Wilhelmsen, givenName, Arne]
  • A. Arne chosen
    Arne is a Scandinavian masculine given name commonly used in Norway, Sweden, and Denmark.
  • B. 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.
  • C. Ænes
    Ænes is a small village in Vestland county, Norway, situated in the municipality of Kvinnherad along the Hardangerfjord.
  • D. Arnesson
    Arnesson is a Scandinavian patronymic surname indicating descent from a father named Arne or a similar given name.
  • E. Ekornes
    Ekornes is a Norwegian furniture manufacturer best known for its Stressless line of reclining chairs and sofas.
  • 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_69e245fa93448190919cb04534560542 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1aecd60a881908c257d9ba67080c8 completed April 29, 2026, 7:10 a.m.
Created at: April 17, 2026, 6:11 p.m.