Triple

T12101525
Position Surface form Disambiguated ID Type / Status
Subject Summer: The Donna Summer Musical E288200 entity
Predicate includesSong P7178 FINISHED
Object Hot Stuff E399237 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: Hot Stuff | Statement: [Summer: The Donna Summer Musical, includesSong, Hot Stuff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hot Stuff
Context triple: [Summer: The Donna Summer Musical, includesSong, Hot Stuff]
  • A. Hot Stuff chosen
    "Hot Stuff" is a 1979 disco hit by Donna Summer that blends dance rhythms with rock influences and became one of her signature songs.
  • B. Hot Thing
    "Hot Thing" is a funk-infused track by Prince from his acclaimed 1987 double album *Sign o’ the Times*, noted for its sensual lyrics and dance-driven groove.
  • C. Hot Hot Hot
    "Hot Hot Hot" is a song best known as the B-side to the English post-punk band The Cure’s single "The Walk."
  • D. Hot Shot
    "Hot Shot" is a 2000 reggae fusion studio album by Jamaican artist Shaggy that achieved global success with hits like "It Wasn't Me" and "Angel."
  • E. Red Hot
    "Red Hot" is a 1993 drama film set in Soviet-era Latvia, following a group of young musicians who risk severe punishment to secretly play Western rock music.
  • 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.