Triple

T22575430
Position Surface form Disambiguated ID Type / Status
Subject Soundbombing II E544380 entity
Predicate series P1761 FINISHED
Object Soundbombing 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: Soundbombing | Statement: [Soundbombing II, series, Soundbombing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Soundbombing
Context triple: [Soundbombing II, series, Soundbombing]
  • A. Soundbombing chosen
    Soundbombing is a seminal late-1990s hip hop compilation series showcasing underground and alternative rap artists associated with the Rawkus Records label.
  • B. Soundbombing II
    Soundbombing II is a highly regarded late-1990s underground hip-hop compilation album showcasing prominent and emerging artists from the Rawkus Records roster.
  • C. KaBoom
    KaBoom is the energetic mascot of the Lancaster JetHawks minor league baseball team, known for entertaining fans with lively antics at games.
  • D. Kaboings
    Kaboings are a type of Kremling enemy from the Donkey Kong video game series, known for their distinctive bouncing movement and dual-headed appearance.
  • E. Kaboom
    Kaboom is a 2010 surreal coming-of-age dark comedy film written and directed by Gregg Araki.
  • 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_69e11e30d05481909df915354c89f0d6 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f15fecf1c8819091a05f2a1b93ca8a completed April 29, 2026, 1:33 a.m.
Created at: April 16, 2026, 8:53 p.m.