Triple

T16438571
Position Surface form Disambiguated ID Type / Status
Subject Hot Stuff E399237 entity
Predicate album P1995 FINISHED
Object Bad Girls 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 | Statement: [Hot Stuff, album, Bad Girls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bad Girls
Context triple: [Hot Stuff, album, Bad Girls]
  • A. 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.
  • B. Bad Girls
    "Bad Girls" is a 1994 American Western film about four former prostitutes on the run, produced and co-written by Lynda Obst.
  • C. Bad Girls
    "Bad Girls" is a 2012 single by British-Sri Lankan artist M.I.A., known for its Middle Eastern–influenced production and a visually striking, stunt-filled music video that critiques gender norms and driving bans.
  • D. 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.
  • E. Bad Girl
    "Bad Girl" is a track from the album "Erotica," known for its provocative themes and sensual style.
  • 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_69e32ba5a4748190b63ff53bfb5957c7 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0058143cb88190943b951cc8e47a66 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:10 a.m.