Triple

T23326786
Position Surface form Disambiguated ID Type / Status
Subject Chemistry E591313 entity
Predicate hasTrack P3284 FINISHED
Object I Found 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: I Found Love | Statement: [Chemistry, hasTrack, I Found Love]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I Found Love
Context triple: [Chemistry, hasTrack, I Found Love]
  • A. I Found Love chosen
    "I Found Love" is a song by Owl City featured on his 2015 studio album *Mobile Orchestra*.
  • B. Find Your Love
    "Find Your Love" is a melodic, dancehall-influenced R&B single by Canadian rapper and singer Drake, released from his debut studio album "Thank Me Later."
  • C. We Found Love
    "We Found Love" is a globally successful dance-pop and electronic music single by Rihanna featuring Calvin Harris, known for its euphoric production and themes of intense, tumultuous love.
  • D. Looking for Love
    "Looking for Love" is a song featured on the album "R." by American R&B artist R. Kelly.
  • E. Looking for Love
    Looking for Love is a 1964 musical romantic comedy film starring Connie Francis as an aspiring singer navigating love and show business.
  • 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_69e25d1effe4819096907f95f610dbff completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f197eaa7b88190aad2096c110dadea completed April 29, 2026, 5:32 a.m.
Created at: April 17, 2026, 5:12 p.m.