Triple

T20177037
Position Surface form Disambiguated ID Type / Status
Subject Don't Want to Fall in Love E492627 entity
Predicate title P38 FINISHED
Object Don't Want to Fall in Love 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: Don't Want to Fall in Love | Statement: [Don't Want to Fall in Love, title, Don't Want to Fall in Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don't Want to Fall in Love
Context triple: [Don't Want to Fall in Love, title, Don't Want to Fall in Love]
  • A. Don't Want to Fall in Love chosen
    "Don't Want to Fall in Love" is a song by the American punk rock band Green Day, released as the B-side to their single "Geek Stink Breath."
  • B. Fall in Love
    "Fall in Love" is a popular Afrobeat love song by Nigerian artist D'banj that became one of his signature hits across Africa.
  • C. Fall in Love
    "Fall in Love" is a breakout hip-hop/R&B single by American rapper GoldLink that showcases his melodic flow over a danceable, groove-driven production.
  • D. Fall in Love
    "Fall in Love" is an episode of the American sitcom *The King of Queens*, featuring the comedic misadventures of Doug and Carrie Heffernan in Queens, New York.
  • E. Fall in Love
    "Fall in Love" is a notable creative work by Bangalee, likely recognized as one of the artist's prominent releases.
  • 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_69da6268a034819081cbd9ea5a1c9475 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e668ec4d7c81909fa4bdc58ed54aeb completed April 20, 2026, 5:57 p.m.
Created at: April 11, 2026, 11:36 p.m.