Triple

T13738214
Position Surface form Disambiguated ID Type / Status
Subject Czarface Meets Metal Face E330006 entity
Predicate hasPart P35 FINISHED
Object Ka-Bang! (Remix)
"Ka-Bang! (Remix)" is a remixed hip-hop track from the collaborative album by underground rap group Czarface and MF DOOM.
E1057597 NE FINISHED

How this triple was built (4 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: Ka-Bang! (Remix) | Statement: [Czarface Meets Metal Face, hasPart, Ka-Bang! (Remix)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ka-Bang! (Remix)
Context triple: [Czarface Meets Metal Face, hasPart, Ka-Bang! (Remix)]
  • A. Sungba (Remix)
    "Sungba (Remix)" is a popular Afrobeats track by Nigerian artist Asake, widely recognized for its infectious rhythm and club-ready energy.
  • B. Bang Bang Bang
    "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.
  • C. Bang Bang
    "Bang Bang" is a politically charged punk rock song by Green Day from their album "Revolution Radio."
  • D. 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.
  • E. 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."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ka-Bang! (Remix)
Triple: [Czarface Meets Metal Face, hasPart, Ka-Bang! (Remix)]
Generated description
"Ka-Bang! (Remix)" is a remixed hip-hop track from the collaborative album by underground rap group Czarface and MF DOOM.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ka-Bang! (Remix)
Target entity description: "Ka-Bang! (Remix)" is a remixed hip-hop track from the collaborative album by underground rap group Czarface and MF DOOM.
  • A. Sungba (Remix)
    "Sungba (Remix)" is a popular Afrobeats track by Nigerian artist Asake, widely recognized for its infectious rhythm and club-ready energy.
  • B. Bang Bang Bang
    "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.
  • C. Bang Bang
    "Bang Bang" is a politically charged punk rock song by Green Day from their album "Revolution Radio."
  • D. 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."
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de0204d50c8190a5413cc9a1b26e14 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d6bce9881909209231f6dfcf9bf completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79e7869648190ab0157bd0480b219 completed May 3, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69f79f7216b08190800165d46172222c completed May 3, 2026, 7:18 p.m.
Created at: April 9, 2026, 9:55 p.m.