Triple

T6235183
Position Surface form Disambiguated ID Type / Status
Subject Check on It E139457 entity
Predicate associatedAct P37 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: [Check on It, associatedAct, Bun B]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bun B
Context triple: [Check on It, associatedAct, 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. BUBBA
    BUBBA is a critically acclaimed electronic and hip-hop infused dance album by producer KAYTRANADA, known for its smooth grooves, rich collaborations, and innovative production.
  • E. BUD
    BUD is the IATA airport code for Budapest Ferenc Liszt International Airport, the main international gateway to Hungary’s capital city.
  • 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_69c008b0e7ac8190808a59573ee646f3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062f236608190997e77b41095883f completed March 22, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20df60e488190933b7fa068e96cc4 completed March 24, 2026, 4:07 a.m.
Created at: March 22, 2026, 4:22 p.m.