Triple

T22905426
Position Surface form Disambiguated ID Type / Status
Subject Goodbye & Good Riddance E568431 entity
Predicate containsSong P20452 FINISHED
Object Used To 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: Used To | Statement: [Goodbye & Good Riddance, containsSong, Used To]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Used To
Context triple: [Goodbye & Good Riddance, containsSong, Used To]
  • A. Used To
    "Used To" is a track by Drake featuring Lil Wayne from his 2015 commercial mixtape *If You’re Reading This It’s Too Late*, known for its moody production and themes of success and changing relationships.
  • B. Used To
    "Used To" is a popular hip-hop track by producer collective Internet Money, known for its melodic trap production and collaborations with prominent rap artists.
  • C. Used To chosen
    "Used To" is an R&B song by American singer LeToya Luckett, featured on her 2006 self-titled debut solo album.
  • D. Get Used to It
    "Get Used to It" is a funk and acid jazz album by The Brand New Heavies that showcases their signature blend of soulful vocals, horn-driven grooves, and danceable rhythms.
  • E. “Used To This”
    “Used To This” is a hip-hop single by Future featuring Drake, produced by Canadian producer WondaGurl (Ebony Naomi Oshunrinde).
  • 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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180198fe88190b2f8c2a827d95fdc completed April 29, 2026, 3:50 a.m.
Created at: April 17, 2026, 3:41 p.m.