Triple

T13738093
Position Surface form Disambiguated ID Type / Status
Subject Manifesto E330003 entity
Predicate hasPart P35 FINISHED
Object Gotta Bang
Gotta Bang is a component or section of the work "Manifesto," likely representing a distinct chapter, track, or segment within that larger creative project.
 E1057423 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: Gotta Bang | Statement: [Manifesto, hasPart, Gotta Bang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Gotta Bang
Context triple: [Manifesto, hasPart, Gotta Bang]
  • A. 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.
  • B. She Bangs
    "She Bangs" is a 2000 Latin pop and dance hit by Ricky Martin known for its energetic rhythm, brassy production, and widespread international success.
  • 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
  • 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: Gotta Bang
Triple: [Manifesto, hasPart, Gotta Bang]
Generated description
Gotta Bang is a component or section of the work "Manifesto," likely representing a distinct chapter, track, or segment within that larger creative project.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Gotta Bang
Target entity description: Gotta Bang is a component or section of the work "Manifesto," likely representing a distinct chapter, track, or segment within that larger creative project.
  • A. 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.
  • B. She Bangs
    "She Bangs" is a 2000 Latin pop and dance hit by Ricky Martin known for its energetic rhythm, brassy production, and widespread international success.
  • 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_69f79d68da04819089c95d9bfedc7496 completed May 3, 2026, 7:09 p.m.
NEDg Description generation batch_69f79f1051b48190ac4704b43e759237 completed May 3, 2026, 7:16 p.m.
NED2 Entity disambiguation (via description) batch_69f79fdf974081909108b0fd89e76d56 completed May 3, 2026, 7:19 p.m.
Created at: April 9, 2026, 9:55 p.m.