Triple

T23340039
Position Surface form Disambiguated ID Type / Status
Subject Make a Wish E591710 entity
Predicate notableSong P4 FINISHED
Object “I Wanna Be Good ’n’ Bad” — NE NERFINISHED

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: “I Wanna Be Good ’n’ Bad” | Statement: [Make a Wish, notableSong, “I Wanna Be Good ’n’ Bad”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: “I Wanna Be Good ’n’ Bad”
Context triple: [Make a Wish, notableSong, “I Wanna Be Good ’n’ Bad”]
  • A. “I Wanna Be Good ’n’ Bad” chosen
    “I Wanna Be Good ’n’ Bad” is a musical number featured in the Broadway musical *Make a Wish*.
  • B. 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.
  • C. Can't B Good
    "Can't B Good" is a track by the American R&B singer Janet Jackson from her 2006 album "20 Y.O."
  • D. I’m Gonna Getcha Good!
    "I’m Gonna Getcha Good!" is a 2002 country-pop single by Shania Twain that became one of her signature international hits.
  • E. “This Bad Girl”
    “This Bad Girl” is a song by the influential 1960s Japanese rock band The Golden Cups, known for their pioneering role in the Group Sounds movement.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e25d20156c81908c5c53195bd9c738 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f198317f4c8190a557cacb86568d6c completed April 29, 2026, 5:33 a.m.
Created at: April 17, 2026, 5:18 p.m.