Triple

T17490765
Position Surface form Disambiguated ID Type / Status
Subject But You Know I Love You E425901 entity
Predicate hasTitle P38 FINISHED
Object But You Know I Love 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: But You Know I Love You | Statement: [But You Know I Love You, hasTitle, But You Know I Love You]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: But You Know I Love You
Context triple: [But You Know I Love You, hasTitle, But You Know I Love You]
  • A. But You Know I Love You chosen
    "But You Know I Love You" is a country-pop song best known for its hit recording by Kenny Rogers and The First Edition in the late 1960s.
  • B. Why I Love You
    "Why I Love You" is a song by Jay-Z and Kanye West from their collaborative album *Watch the Throne*, known for its dramatic production and themes of loyalty and betrayal.
  • C. To Know That I Love You
    "To Know That I Love You" is a song by the American rock band Simple Plan from their album "Simple Things."
  • D. Who You Love
    "Who You Love" is a romantic duet by John Mayer and Katy Perry that blends soft rock and pop influences to explore the theme of accepting love without judgment.
  • E. Loving You
    Loving You is a 1957 musical drama film starring Elvis Presley, notable as his first starring movie role and produced by influential Hollywood producer Hal B. Wallis.
  • 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_69d889dccf7481909264a1844a2e9100 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e451d519488190a08da1b529c08445 completed April 19, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:48 a.m.