Triple

T7288820
Position Surface form Disambiguated ID Type / Status
Subject Bad Girls E163940 entity
Predicate hasCoverArt P2386 FINISHED
Object Bad Girls (Donna Summer album cover) E163940 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: Bad Girls (Donna Summer album cover) | Statement: [Bad Girls, hasCoverArt, Bad Girls (Donna Summer album cover)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Girls (Donna Summer album cover)
Context triple: [Bad Girls, hasCoverArt, Bad Girls (Donna Summer album cover)]
  • A. Bad Girls
    "Bad Girls" is a 1994 American Western film about four former prostitutes on the run, produced and co-written by Lynda Obst.
  • B. Bad Girls chosen
    "Bad Girls" is a 1979 disco hit album by Donna Summer, widely regarded as one of her signature works and a landmark of the disco era.
  • C. Bad Girl
    "Bad Girl" is a high-energy R&B/pop single by Danity Kane known for its club-ready production and confident, empowering lyrics.
  • D. Bad Girl (Remix)
    "Bad Girl (Remix)" is a remixed version of Usher's R&B track "Bad Girl," featured as bonus content on the Confessions Special Edition release.
  • E. Good Girl Gone Bad
    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.
  • 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_69c6886093b88190a254b1ce6db8bae7 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb6bde448190b52852c916a8059d completed March 27, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db4671e08190874d5e099e883509 completed March 28, 2026, 1:44 p.m.
Created at: March 27, 2026, 3 p.m.