Triple

T8851900
Position Surface form Disambiguated ID Type / Status
Subject RedOne E210656 entity
Predicate associatedAct P37 FINISHED
Object Tove Styrke E745270 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: Tove Styrke | Statement: [RedOne, associatedAct, Tove Styrke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tove Styrke
Context triple: [RedOne, associatedAct, Tove Styrke]
  • A. Tove Styrke chosen
    Tove Styrke is a Swedish pop singer, songwriter, and former Idol contestant known for her catchy, synth-driven music and energetic performances.
  • B. Tove Lo
    Tove Lo is a Swedish singer-songwriter and pop artist known for her candid, emotionally raw lyrics and hits like "Habits (Stay High)."
  • C. Lykke Li
    Lykke Li is a Swedish indie pop singer-songwriter known for her atmospheric, melancholic sound and hits like "I Follow Rivers."
  • D. Laufey
    Laufey is a Frost Giant king from Marvel's Thor universe, depicted as a powerful enemy of Asgard.
  • E. Anette
    Anette is a feminine given name, commonly used in various European countries and considered a variant of names like Annette or Annette-derived forms.
  • 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_69ca838a424c8190b1ecac115c2927e7 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc60c3c5548190926e374bbe592180 completed April 1, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfa08c3f0081909a9aad5599f7deb2 completed April 3, 2026, 11:12 a.m.
Created at: March 30, 2026, 6:49 p.m.