Triple

T20146807
Position Surface form Disambiguated ID Type / Status
Subject Matters of the Heart E491322 entity
Predicate hasPart P35 FINISHED
Object Bang Bang 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: Bang Bang Bang | Statement: [Matters of the Heart, hasPart, Bang Bang Bang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bang Bang Bang
Context triple: [Matters of the Heart, hasPart, Bang Bang Bang]
  • A. Bang Bang Bang chosen
    "Bang Bang Bang" is a studio album by the American country-rock group Nitty Gritty Dirt Band, showcasing their blend of country, folk, and rock influences.
  • B. Bang Bang
    "Bang Bang" is a politically charged punk rock song by Green Day from their album "Revolution Radio."
  • C. Bang Bang
    Bang Bang is a 2014 Indian action-comedy film starring Hrithik Roshan and Katrina Kaif, known for its high-octane stunts and being an official remake of the Hollywood movie "Knight and Day."
  • D. Bang Bang
    "Bang Bang" is a work associated with Stephen Bloom, likely a creative project such as a film, book, or television production in which he was significantly involved.
  • E. Bang Bang
    "Bang Bang" is a 2014 pop/R&B hit single by Jessie J, Ariana Grande, and Nicki Minaj known for its powerful vocals and energetic, brass-driven production.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679f43bc8190a1cd4768b3e87505 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:33 p.m.