Triple

T17763594
Position Surface form Disambiguated ID Type / Status
Subject Anders Sandvig E443443 entity
Predicate name P16 FINISHED
Object Anders Sandvig 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: Anders Sandvig | Statement: [Anders Sandvig, name, Anders Sandvig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anders Sandvig
Context triple: [Anders Sandvig, name, Anders Sandvig]
  • A. Anders Sandvig chosen
    Anders Sandvig was a Norwegian dentist and cultural historian best known for collecting historic buildings and artifacts that formed the basis of the Maihaugen open-air museum in Lillehammer.
  • B. Henrik Jonback
    Henrik Jonback is a Swedish songwriter and producer best known for his work on major pop hits, including Britney Spears’ “Toxic.”
  • C. Anders Bagge
    Anders Bagge is a Swedish music producer and songwriter known for working with major international pop artists and contributing to numerous hit records.
  • D. Erik Selvig
    Erik Selvig is a fictional astrophysicist in the Marvel Cinematic Universe who becomes a close ally of Thor and plays a key role in studying and understanding cosmic phenomena.
  • E. Stig Anderson
    Stig Anderson was a Swedish music manager, lyricist, and record executive best known as ABBA’s manager and a key figure in the international success of Swedish pop music.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485f9fa188190aef5ffeb0b628632 completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.