Triple

T22389115
Position Surface form Disambiguated ID Type / Status
Subject Come & Get It E553469 entity
Predicate songwriter P1141 FINISHED
Object Mikkel Storleer Eriksen 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: Mikkel Storleer Eriksen | Statement: [Come & Get It, songwriter, Mikkel Storleer Eriksen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikkel Storleer Eriksen
Context triple: [Come & Get It, songwriter, Mikkel Storleer Eriksen]
  • A. Mikkel Eriksen chosen
    Mikkel Eriksen is a Norwegian record producer and songwriter best known as one half of the production duo Stargate, which has crafted numerous global pop and R&B hits.
  • B. Per-Erik Eriksen
    Per-Erik Eriksen is a film editor best known for his work on the 2012 historical adventure film "Kon-Tiki."
  • C. Mikkel Nørgaard
    Mikkel Nørgaard is a Danish film and television director known for his work on crime thrillers and popular Scandinavian productions.
  • D. Mikkel Bondesen
    Mikkel Bondesen is a television producer known for his executive production work on series such as "The Comedians."
  • E. Alex Høgh Andersen
    Alex Høgh Andersen is a Danish actor and photographer best known for his portrayal of Ivar the Boneless in the historical drama television series "Vikings."
  • 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.