Triple

T18503046
Position Surface form Disambiguated ID Type / Status
Subject The Naked Truth E452126 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: [The Naked Truth, featuresArtist, Bun B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bun B
Context triple: [The Naked Truth, 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532c6384c819091f061c8538f6ca1 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 11:36 a.m.