Triple

T22822007
Position Surface form Disambiguated ID Type / Status
Subject Countdown to Extinction E565254 entity
Predicate notableSingle P3283 FINISHED
Object Sweating Bullets 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: Sweating Bullets | Statement: [Countdown to Extinction, notableSingle, Sweating Bullets]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sweating Bullets
Context triple: [Countdown to Extinction, notableSingle, Sweating Bullets]
  • A. Sweating Bullets chosen
    "Sweating Bullets" is a popular heavy metal song by Megadeth, known for its schizophrenic narrative style and prominent guitar riffs.
  • B. Sweat
    Sweat is a 2004 studio album by American rapper Nelly that showcases his blend of hip hop and R&B with a more up-tempo, club-oriented sound.
  • C. Sweat
    "Sweat" is a Pulitzer Prize–winning play by Lynn Nottage that explores the lives of working-class friends in a declining Rust Belt town amid deindustrialization and racial tension.
  • D. Sweat
    "Sweat" is a novel by Brazilian writer Jorge Amado, reflecting his early social-realist style and focus on the struggles of the working class.
  • E. Sweat
    Sweat is a surname of English origin borne by various individuals, including the American politician and art patron L. D. M. Sweat.
  • 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_69e2458426188190b58b8ab4844fe420 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17dd11b048190869c0c8a0e3095d7 completed April 29, 2026, 3:41 a.m.
Created at: April 17, 2026, 3:33 p.m.