Triple

T9058685
Position Surface form Disambiguated ID Type / Status
Subject Bounce E217066 entity
Predicate coSongwriter P83542 FINISHED
Object Anders Bagge E598518 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: Anders Bagge | Statement: [Bounce, coSongwriter, Anders Bagge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anders Bagge
Context triple: [Bounce, coSongwriter, 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 Gyldenklou
    Anders Gyldenklou was a Swedish nobleman and statesman who rose to one of the highest financial and political offices in the Swedish realm.
  • C. Morten Borg
    Morten Borg is a Norwegian figure known primarily as the father of Marius Borg Høiby, the eldest son of Norway’s Crown Princess Mette-Marit.
  • D. Anders Olsen
    Anders Olsen was an 18th-century Norwegian-Danish merchant and colonial administrator known for his role in establishing the modern settlement of Nuuk in Greenland.
  • E. Henning Carlsen
    Henning Carlsen was a Danish film director best known internationally for his stark, critically acclaimed 1966 adaptation of Knut Hamsun’s novel "Hunger."
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7ec924f481908ca2eac98c68a41d completed April 1, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065bddf1c81909b6134179fe92556 completed April 4, 2026, 1:13 a.m.
Created at: March 30, 2026, 7:10 p.m.