Triple

T22963140
Position Surface form Disambiguated ID Type / Status
Subject Evolution E570961 entity
Predicate producer P490 FINISHED
Object Anders Bagge 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: Anders Bagge | Statement: [Evolution, producer, Anders Bagge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anders Bagge
Context triple: [Evolution, producer, Anders Bagge]
  • A. Anders Bagge chosen
    Anders Bagge is a Swedish music producer and songwriter known for working with major international pop artists and contributing to numerous hit records.
  • B. Anders Holmvik
    Anders Holmvik is a straight-laced, ambitious yet socially awkward office worker and one of the three central slackers in the comedy series "Workaholics."
  • C. Anders Bodelsen
    Anders Bodelsen was a Danish crime and suspense novelist known for his psychologically driven thrillers and explorations of moral ambiguity.
  • D. 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.
  • E. Mick Grøndahl
    Mick Grøndahl is a Danish-American musician best known as the bassist for Jeff Buckley, contributing significantly to the sound of the acclaimed album "Grace."
  • 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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f66fbc8190a4a7b73d17537132 completed April 29, 2026, 3:58 a.m.
Created at: April 17, 2026, 3:47 p.m.