Triple

T788481
Position Surface form Disambiguated ID Type / Status
Subject Def Jam Recordings E16856 entity
Predicate notableRelease P13405 FINISHED
Object Good Girl Gone Bad E87100 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: Good Girl Gone Bad | Statement: [Def Jam Recordings, notableRelease, Good Girl Gone Bad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good Girl Gone Bad
Context triple: [Def Jam Recordings, notableRelease, Good Girl Gone Bad]
  • A. Good Girl Gone Bad chosen
    Good Girl Gone Bad is Rihanna's critically acclaimed 2007 pop and R&B album that marked her transition to a more edgy, mature image and sound.
  • B. It's Bad for Ya
    "It's Bad for Ya" is a 2008 stand-up comedy special by George Carlin, known for its sharp social commentary and being his final HBO performance before his death.
  • C. Tell Me No
    "Tell Me No" is a song by American singer Whitney Houston from her 2002 studio album "Just Whitney."
  • D. A Girl Like Me
    A Girl Like Me is Rihanna’s second studio album, featuring a blend of Caribbean-influenced pop and R&B that helped establish her as an international star.
  • E. Girl Can’t Be Herself
    "Girl Can’t Be Herself" is a song by Alicia Keys that addresses themes of self-acceptance and rejecting societal beauty standards.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a782fe988190966b958673fe12bf completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6787eac608190acc40d56f827284e completed March 3, 2026, 5:58 a.m.
Created at: March 1, 2026, 7:38 p.m.