Triple

T8593327
Position Surface form Disambiguated ID Type / Status
Subject Tove E203482 entity
Predicate hasNotableBearer P458 FINISHED
Object Tove Styrke
Tove Styrke is a Swedish pop singer, songwriter, and former Idol contestant known for her catchy, synth-driven music and energetic performances.
E745270 NE FINISHED

How this triple was built (4 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: [Tove, hasNotableBearer, Tove Styrke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tove Styrke
Context triple: [Tove, hasNotableBearer, Tove Styrke]
  • A. 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)."
  • B. Lykke Li
    Lykke Li is a Swedish indie pop singer-songwriter known for her atmospheric, melancholic sound and hits like "I Follow Rivers."
  • C. Laufey
    Laufey is a Frost Giant king from Marvel's Thor universe, depicted as a powerful enemy of Asgard.
  • D. 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.
  • E. Maria Larsson
    Maria Larsson is a Swedish Christian Democrat politician who served as a government minister in Fredrik Reinfeldt’s second cabinet.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tove Styrke
Triple: [Tove, hasNotableBearer, Tove Styrke]
Generated description
Tove Styrke is a Swedish pop singer, songwriter, and former Idol contestant known for her catchy, synth-driven music and energetic performances.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tove Styrke
Target entity description: Tove Styrke is a Swedish pop singer, songwriter, and former Idol contestant known for her catchy, synth-driven music and energetic performances.
  • A. 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)."
  • B. Lykke Li
    Lykke Li is a Swedish indie pop singer-songwriter known for her atmospheric, melancholic sound and hits like "I Follow Rivers."
  • C. Laufey
    Laufey is a Frost Giant king from Marvel's Thor universe, depicted as a powerful enemy of Asgard.
  • D. 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.
  • E. Maria Larsson
    Maria Larsson is a Swedish Christian Democrat politician who served as a government minister in Fredrik Reinfeldt’s second cabinet.
  • F. None of above. chosen

Provenance (5 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_69ca832a7f108190b4e4f5648abf4aa2 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc4668b49481908838579e9876c1ec completed March 31, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8becbd88190837478e302d5e5b4 completed April 2, 2026, 5:34 p.m.
NEDg Description generation batch_69cea9e685388190a4be9d2135dc02d0 completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaababe2c8190bc47430d33bfdbaa completed April 2, 2026, 5:43 p.m.
Created at: March 30, 2026, 6:23 p.m.