Triple

T22389607
Position Surface form Disambiguated ID Type / Status
Subject My Love E553479 entity
Predicate writer P1360 FINISHED
Object Per Magnusson 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: Per Magnusson | Statement: [My Love, writer, Per Magnusson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Per Magnusson
Context triple: [My Love, writer, Per Magnusson]
  • A. Per Magnusson chosen
    Per Magnusson is a Swedish music producer and songwriter known for his work on major international pop hits, including early tracks for artists like Britney Spears.
  • B. Magnus Olsson
    Magnus Olsson is a Swedish entrepreneur best known as a co-founder of Careem, the Middle Eastern ride-hailing company acquired by Uber.
  • C. Magnus Andersson
    Magnus Andersson is a Swedish handball coach and former elite player known for his successful international career and leadership of top European clubs and national teams.
  • D. Eric Magnusson
    Eric Magnusson, also known as Eric II of Norway, was a 13th-century Norwegian king whose reign was marked by internal power struggles and efforts to consolidate royal authority.
  • E. Tivi Magnusson
    Tivi Magnusson is a film producer best known for his work on the Academy Award-winning short film "The New Tenants."
  • 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15858c13c819098fe66a50ecea7d7 completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:45 p.m.