Triple

T5628580
Position Surface form Disambiguated ID Type / Status
Subject Main Offender E147778 entity
Predicate hasSingle P3282 FINISHED
Object Hate It When You Leave E534125 NE FINISHED

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: Hate It When You Leave | Statement: [Main Offender, hasSingle, Hate It When You Leave]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hate It When You Leave
Context triple: [Main Offender, hasSingle, Hate It When You Leave]
  • A. Hate It When You Leave chosen
    "Hate It When You Leave" is a bluesy, soulful rock song by Keith Richards, released as part of his solo work outside The Rolling Stones.
  • B. Only When You Leave
    "Only When You Leave" is a 1984 synth-pop single by British band Spandau Ballet, known as one of their major hits of the mid-1980s.
  • C. Hate That I Love You
    "Hate That I Love You" is a mid-tempo R&B-pop duet by Rihanna featuring Ne-Yo that explores the emotional conflict of loving someone despite their flaws.
  • D. Hate Me
    "Hate Me" is a confessional alternative rock song by Blue October that explores themes of guilt, addiction, and emotional turmoil in a failed relationship.
  • E. Wouldn’t Leave
    "Wouldn’t Leave" is a melodic, emotionally driven song by Kanye West (Ye) that reflects on loyalty, controversy, and the strain his public actions place on his personal relationships.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c00907bc8881909ed760d3ed73ef35 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0223b1e54819099fe5fc84ed17a88 completed March 22, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d654c6c819087c1bcb4eb9530d0 completed March 22, 2026, 8:13 p.m.
Created at: March 22, 2026, 3:40 p.m.