Triple

T3996028
Position Surface form Disambiguated ID Type / Status
Subject Rude Boy E87099 entity
Predicate writer P1360 FINISHED
Object Mikkel S. Eriksen E166996 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: Mikkel S. Eriksen | Statement: [Rude Boy, writer, Mikkel S. Eriksen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mikkel S. Eriksen
Context triple: [Rude Boy, writer, Mikkel S. Eriksen]
  • A. Mikkel S. Eriksen chosen
    Mikkel S. Eriksen is a Norwegian songwriter and record producer best known as one half of the hit-making production duo Stargate, which has crafted numerous chart-topping pop and R&B songs.
  • B. Peter Aalbæk Jensen
    Peter Aalbæk Jensen is a Danish film producer and co-founder of the influential production company Zentropa, known for his collaborations with prominent directors such as Lars von Trier.
  • C. Ingvard Eversen Nielsen
    Ingvard Eversen Nielsen was the father of Canadian-American actor and comedian Leslie Nielsen.
  • D. Morten Ristorp
    Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
  • E. Søren Stærmose
    Søren Stærmose is a Danish film producer best known for his work on adaptations of Stieg Larsson’s Millennium series, including The Girl with the Dragon Tattoo.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa2159d88190a01de8b038341916 completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b4447e08190aa90dd50f304a491 completed March 14, 2026, 2:05 p.m.
Created at: March 9, 2026, 3:34 p.m.