Triple

T19553676
Position Surface form Disambiguated ID Type / Status
Subject Trap Muzik E489253 entity
Predicate featuresArtist P1952 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: [Trap Muzik, featuresArtist, Bun B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bun B
Context triple: [Trap Muzik, featuresArtist, 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. BON
    BON is the National Rail station code for Bolton railway station in Greater Manchester, England.
  • D. BON
    BON is the IATA airport code for Flamingo International Airport, the main air gateway to the Caribbean island of Bonaire.
  • E. Bum
    Bum is the nickname of Bum Phillips, the colorful and beloved former NFL head coach best known for leading the Houston Oilers in the 1970s.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d3254548190828a5f7e9a851ef8 completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:41 p.m.