Triple

T13717606
Position Surface form Disambiguated ID Type / Status
Subject The Peoples Champ E328941 entity
Predicate featuresArtist P1952 FINISHED
Object Bun B E452148 NE FINISHED

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 Peoples Champ, featuresArtist, Bun B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bun B
Context triple: [The Peoples Champ, 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. 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.
  • E. Bung
    Bung is an Indonesian honorific title commonly used to address men in a friendly, egalitarian, and nationalist context, especially prominent during the independence era.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d80770b9bc81909f70c8c317d53cff completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dd4398f0448190810c840a82228706 completed April 13, 2026, 7:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7a847c4d08190b05ea525059f0465 completed May 3, 2026, 7:55 p.m.
Created at: April 9, 2026, 9:54 p.m.