Triple

T16437172
Position Surface form Disambiguated ID Type / Status
Subject Good to Be Bad E399206 entity
Predicate hasPart P35 FINISHED
Object Good to Be Bad (song) E399206 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 to Be Bad (song) | Statement: [Good to Be Bad, hasPart, Good to Be Bad (song)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Good to Be Bad (song)
Context triple: [Good to Be Bad, hasPart, Good to Be Bad (song)]
  • A. Good to Be Bad chosen
    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.
  • B. 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."
  • C. Be Good
    "Be Good" is a critically acclaimed jazz and soul album by American singer-songwriter Gregory Porter, noted for its warm vocals, sophisticated songwriting, and emotional depth.
  • D. Be Good
    "Be Good" is a song performed by the character Beth Greene in the television series The Walking Dead.
  • E. So Bad
    "So Bad" is a melodic pop ballad by Paul McCartney, released in the early 1980s and noted for its smooth vocals and sentimental lyrics.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32ba49f3481908e7ea62467ef5813 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458b91bc8190b40af99faf5e74ab completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:10 a.m.