Triple

T23002495
Position Surface form Disambiguated ID Type / Status
Subject Roxette E572669 entity
Predicate album P1995 FINISHED
Object Crash! Boom! Bang! 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: Crash! Boom! Bang! | Statement: [Roxette, album, Crash! Boom! Bang!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Crash! Boom! Bang!
Context triple: [Roxette, album, Crash! Boom! Bang!]
  • A. Crash! Boom! Bang! chosen
    Crash! Boom! Bang! is a 1994 pop rock album by Swedish duo Roxette, featuring melodic ballads and upbeat tracks that continued their international success.
  • B. Kaboom!
    Kaboom! is a fast-paced 1981 Atari 2600 action video game in which players catch falling bombs with buckets, widely regarded as one of the console’s classic titles.
  • C. Ka-boom Ka-boom
    "Ka-boom Ka-boom" is a track by Marilyn Manson featured on his 2003 industrial metal album *The Golden Age of Grotesque*.
  • D. Boom! Boom! Boom!
    "Boom! Boom! Boom!" is an alternative rock album by musician Kelley Deal, best known as a member of The Breeders.
  • E. The Crash
    The Crash is a 1928 American drama film, best known as a silent-era production featuring actor William Janney.
  • 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f183549bdc81908fdcd44e2c92f7c4 completed April 29, 2026, 4:04 a.m.
Created at: April 17, 2026, 3:50 p.m.