Triple

T19234608
Position Surface form Disambiguated ID Type / Status
Subject Black and White Rainbows E480960 entity
Predicate hasSingle P3282 FINISHED
Object Lost in You 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: Lost in You | Statement: [Black and White Rainbows, hasSingle, Lost in You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lost in You
Context triple: [Black and White Rainbows, hasSingle, Lost in You]
  • A. Lost in You chosen
    "Lost in You" is a song by British rock band Bush from their 2017 album *Black and White Rainbows*.
  • B. Too Lost In You
    "Too Lost in You" is a pop ballad by the Sugababes, known for its emotional lyrics and inclusion on the "Love Actually" film soundtrack.
  • C. I’m Lost Without You
    "I’m Lost Without You" is a melancholic, atmospheric closing track by Blink-182 known for its emotional lyrics and extended instrumental outro.
  • D. Gettin Over You
    "Gettin Over You" is a dance-pop single best known in its version by French DJ David Guetta featuring Chris Willis, Fergie, and LMFAO, which became an international club hit.
  • E. Runaway Train
    Runaway Train is a 1985 American action-thriller film about escaped convicts trapped on an out-of-control locomotive in the Alaskan wilderness.
  • 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_69d8e8ccb8f48190ad420098e74fb1db completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5faeb53988190b83afee9974058c6 completed April 20, 2026, 10:07 a.m.
Created at: April 10, 2026, 1:26 p.m.