Triple

T10997123
Position Surface form Disambiguated ID Type / Status
Subject Björn Andrésen E259903 entity
Predicate name P16 FINISHED
Object Björn Andrésen E259903 NE FINISHED

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: Björn Andrésen | Statement: [Björn Andrésen, name, Björn Andrésen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Björn Andrésen
Context triple: [Björn Andrésen, name, Björn Andrésen]
  • A. Björn Andrésen chosen
    Björn Andrésen is a Swedish actor and musician best known for his hauntingly ethereal screen presence, particularly in films like "Death in Venice" and later the horror film "Midsommar."
  • B. 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.
  • C. Carl-Henning Pedersen
    Carl-Henning Pedersen was a Danish painter known for his colorful, imaginative, and abstract expressionist works associated with the European avant-garde.
  • D. Bjørn Floberg
    Bjørn Floberg is a Norwegian actor known for his intense character roles in film, television, and theatre.
  • E. Anders Gyldenklou
    Anders Gyldenklou was a Swedish nobleman and statesman who rose to one of the highest financial and political offices in the Swedish realm.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d796d20b448190958331705de3a9be completed April 9, 2026, 12:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374762c748190a8c83f3d6fa7b1d3 completed April 18, 2026, 12:09 p.m.
Created at: April 8, 2026, 9:24 p.m.