Triple

T13795428
Position Surface form Disambiguated ID Type / Status
Subject 8 Diagrams E331501 entity
Predicate featuresArtist P1952 FINISHED
Object Suga Bang Bang E1062560 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: Suga Bang Bang | Statement: [8 Diagrams, featuresArtist, Suga Bang Bang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suga Bang Bang
Context triple: [8 Diagrams, featuresArtist, Suga Bang Bang]
  • A. Suga Bang Bang chosen
    Suga Bang Bang is a rapper known for his collaborations with members of the Wu-Tang Clan and appearances on various underground hip-hop projects.
  • 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 (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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0259b0e4819081c11ced694384fb completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8d893448190b37ecbf8d2ded239 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:11 p.m.