Triple

T19533210
Position Surface form Disambiguated ID Type / Status
Subject Habits (Stay High) E488704 entity
Predicate artist P184 FINISHED
Object Tove Lo 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: Tove Lo | Statement: [Habits (Stay High), artist, Tove Lo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tove Lo
Context triple: [Habits (Stay High), artist, Tove Lo]
  • A. Tove Lo chosen
    Tove Lo is a Swedish singer-songwriter and pop artist known for her candid, emotionally raw lyrics and hits like "Habits (Stay High)."
  • B. Dej Loaf
    Dej Loaf is an American rapper and singer from Detroit known for her melodic style and breakout single "Try Me."
  • C. Zavia Beach
    Zavia Beach is a small, scenic pebble beach with clear turquoise waters near the coastal village of Syvota in northwestern Greece, popular for swimming and relaxation.
  • D. Sky Ferreira
    Sky Ferreira is an American singer, songwriter, model, and actress known for her synth-pop and indie pop music, particularly her critically acclaimed debut album "Night Time, My Time."
  • E. Caroline Polachek
    Caroline Polachek is an American singer, songwriter, and producer known for her experimental pop music and work both as a solo artist and as a former member of the band Chairlift.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6364091f4819088b27d0ffdf6010d completed April 20, 2026, 2:20 p.m.
Created at: April 10, 2026, 1:41 p.m.