Triple

T3996112
Position Surface form Disambiguated ID Type / Status
Subject Good Girl Gone Bad E87100 entity
Predicate hasReissue P2247 FINISHED
Object Good Girl Gone Bad: Reloaded 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: Reloaded | Statement: [Good Girl Gone Bad, hasReissue, Good Girl Gone Bad: Reloaded]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Good Girl Gone Bad: Reloaded
Context triple: [Good Girl Gone Bad, hasReissue, Good Girl Gone Bad: Reloaded]
  • 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. Good Girl
    "Good Girl" is an uptempo country-pop song by Carrie Underwood that warns a woman about an untrustworthy lover, showcasing her powerful vocals and crossover appeal.
  • C. Very Good Girls
    Very Good Girls is a 2013 coming-of-age drama film about two best friends whose bond is tested when they fall for the same young man.
  • D. Good to Be Bad
    Good to Be Bad is a 2008 hard rock studio album by British band Whitesnake, marking their return with new material after a long hiatus.
  • E. The Good Girls Revolt
    The Good Girls Revolt is an American period drama television series that follows a group of young female researchers at a 1960s news magazine as they challenge systemic gender discrimination and fight for workplace equality.
  • 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_69aed94118148190975e6aa4e554cde9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefa2159d88190a01de8b038341916 completed March 9, 2026, 4:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5562139b481909faba39f4f36cd26 completed March 14, 2026, 12:35 p.m.
Created at: March 9, 2026, 3:34 p.m.