Triple

T16677477
Position Surface form Disambiguated ID Type / Status
Subject Under Your Skin E405249 entity
Predicate hasPart P35 FINISHED
Object Hate Me E343292 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 Me | Statement: [Under Your Skin, hasPart, Hate Me]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hate Me
Context triple: [Under Your Skin, hasPart, Hate Me]
  • A. Hate Me chosen
    "Hate Me" is a confessional alternative rock song by Blue October that explores themes of guilt, addiction, and emotional turmoil in a failed relationship.
  • B. Hate on Me
    "Hate on Me" is an R&B song originally by Jill Scott that was covered by the cast of the television series Glee and featured on their first soundtrack album.
  • C. She Hate Me
    She Hate Me is a 2004 satirical comedy-drama film directed by Spike Lee that follows a fired executive who starts a controversial side business impregnating lesbians for money.
  • D. She Hates Me
    "She Hates Me" is a song by American rapper Ludacris from his 2003 album *Chicken-n-Beer*, featuring R&B singer Fate Wilson and exploring themes of romantic conflict and resentment.
  • E. Hate My Love
    "Hate My Love" is a song featured in the stage musical adaptation of The Proclaimers' music, Sunshine on Leith.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6c805c81909fbe4fcb20eedbe1 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d32e7b48190b7dd4660bed4789d completed May 10, 2026, 2:58 p.m.
Created at: April 10, 2026, 5:19 a.m.