Triple

T12101524
Position Surface form Disambiguated ID Type / Status
Subject Summer: The Donna Summer Musical E288200 entity
Predicate includesSong P7178 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: [Summer: The Donna Summer Musical, includesSong, Bad Girls]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bad Girls
Context triple: [Summer: The Donna Summer Musical, includesSong, 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 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 Girls Club
    "Bad Girls Club" is a reality television series that follows the dramatic lives and conflicts of a group of young women living together in a shared house.
  • E. Some Girls
    "Some Girls" is a 1978 studio album by The Rolling Stones that marked a gritty, revitalized sound blending rock, punk, and disco influences and became one of their most commercially successful and critically acclaimed releases.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9155576b48190849f0c3e079a935f completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f674eab481909859b5403741eddd completed May 2, 2026, 1:04 p.m.
Created at: April 8, 2026, 9:48 p.m.