Triple

T9969801
Position Surface form Disambiguated ID Type / Status
Subject Dan in Real Life E196174 entity
Predicate featuresMusicBy P2152 FINISHED
Object Sondre Lerche E832233 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: Sondre Lerche | Statement: [Dan in Real Life, featuresMusicBy, Sondre Lerche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sondre Lerche
Context triple: [Dan in Real Life, featuresMusicBy, Sondre Lerche]
  • A. Sondre Lerche chosen
    Sondre Lerche is a Norwegian singer-songwriter and guitarist known for his melodic indie pop and jazz-influenced compositions.
  • B. Noah Gundersen
    Noah Gundersen is an American singer-songwriter known for his emotionally raw, folk-influenced music and introspective lyrics.
  • C. Tove Styrke
    Tove Styrke is a Swedish pop singer, songwriter, and former Idol contestant known for her catchy, synth-driven music and energetic performances.
  • D. Toro y Moi
    Toro y Moi is the stage name of American musician and producer Chaz Bear, known for pioneering the chillwave genre and blending indie pop, electronic, and R&B influences.
  • E. Anders Sandvig
    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.
  • 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_69ca82eea2b88190a0e511d21a31f386 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb7b7ea9881908a56f11e2e446dd0 completed April 2, 2026, 12:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69d257c002cc8190becc9730b2c01782 completed April 5, 2026, 12:38 p.m.
Created at: March 30, 2026, 8:48 p.m.