Triple

T22704863
Position Surface form Disambiguated ID Type / Status
Subject UGK E561422 entity
Predicate hasMember P10 FINISHED
Object Bun B 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: Bun B | Statement: [UGK, hasMember, Bun B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bun B
Context triple: [UGK, hasMember, Bun B]
  • A. Bun B chosen
    Bun B is an American rapper best known as one half of the influential Southern hip hop duo UGK and for his extensive solo work and guest appearances.
  • B. Bun
    Bun is a modern, high-performance JavaScript runtime and toolkit designed as an alternative to Node.js and Deno, featuring a built-in bundler, test runner, and package manager.
  • C. Bussin
    "Bussin" is a 2022 hip hop single by Nicki Minaj featuring Lil Baby, known for its rapid-fire delivery and aggressive, bass-heavy production.
  • D. BON
    BON is the National Rail station code for Bolton railway station in Greater Manchester, England.
  • E. BON
    BON is the IATA airport code for Flamingo International Airport, the main air gateway to the Caribbean island of Bonaire.
  • 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_69e2454f1348819088d83f420925a5c1 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178cdc93481908f85d04560f8c285 completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:16 p.m.