Triple

T9058686
Position Surface form Disambiguated ID Type / Status
Subject Bounce E217066 entity
Predicate coSongwriter P83542 FINISHED
Object Peer Åström E595807 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: Peer Åström | Statement: [Bounce, coSongwriter, Peer Åström]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peer Åström
Context triple: [Bounce, coSongwriter, Peer Åström]
  • A. Peer Åström chosen
    Peer Åström is a Swedish songwriter, producer, and arranger known for his work with international pop artists such as Celine Dion.
  • B. Sigfrid Edström
    Sigfrid Edström was a Swedish industrialist and sports administrator who served as president of the International Olympic Committee in the mid-20th century.
  • C. Leif Sjöberg
    Leif Sjöberg was a Swedish translator and scholar known for bringing modern Arabic literature to Scandinavian readers.
  • D. Björn Waldegård
    Björn Waldegård was a Swedish rally driver and the inaugural World Rally Championship drivers’ title winner, renowned for his success with multiple manufacturers during the 1970s and 1980s.
  • E. Carl Lindström
    Carl Lindström was a pioneering early 20th-century German-Swedish record industry entrepreneur whose company became a major force in European recorded music.
  • 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_69cfebe40ec08190a1da2aa1c6577723 completed April 3, 2026, 4:33 p.m.
Created at: March 30, 2026, 7:10 p.m.