Triple

T17437332
Position Surface form Disambiguated ID Type / Status
Subject Ryan Bowser E424035 entity
Predicate workedOn P3 FINISHED
Object Breathe In, Breathe Out 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: Breathe In, Breathe Out | Statement: [Ryan Bowser, workedOn, Breathe In, Breathe Out]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Breathe In, Breathe Out
Context triple: [Ryan Bowser, workedOn, Breathe In, Breathe Out]
  • A. Breathe In, Breathe Out chosen
    "Breathe In, Breathe Out" is an R&B song produced by Ryan Bowser, best known for its smooth, melodic production and emotionally driven lyrics.
  • B. Breathe Out, Breathe In
    "Breathe Out, Breathe In" is a 2011 studio album that marked the return of British rock band The Zombies with new material after a long hiatus.
  • C. Breathe Slow
    "Breathe Slow" is a mid-tempo R&B/pop ballad by British singer Alesha Dixon that became one of her most successful solo singles.
  • D. Breathe and Stop
    "Breathe and Stop" is a 2000 hip hop single by American rapper Q-Tip, known for its smooth production and dance-oriented vibe.
  • E. Keep Breathing
    "Keep Breathing" is a contemplative indie-pop song by singer-songwriter Ingrid Michaelson that gained widespread recognition after being featured in popular television shows.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff468a08190bdc5cebb8162b4ba completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 5:46 a.m.