Triple

T22128289
Position Surface form Disambiguated ID Type / Status
Subject Columbia Nashville E546845 entity
Predicate formerArtist P64852 FINISHED
Object Gretchen Wilson 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: Gretchen Wilson | Statement: [Columbia Nashville, formerArtist, Gretchen Wilson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gretchen Wilson
Context triple: [Columbia Nashville, formerArtist, Gretchen Wilson]
  • A. Gretchen Wilson chosen
    Gretchen Wilson is an American country music singer best known for her 2004 hit single "Redneck Woman" and her debut album "Here for the Party."
  • B. Chely Wright
    Chely Wright is an American country music singer-songwriter known for hits like "Single White Female" and for being one of the first major country artists to come out as gay.
  • C. Pam Tillis
    Pam Tillis is an American country music singer-songwriter and actress known for hits in the 1990s such as "Maybe It Was Memphis" and "Mi Vida Loca (My Crazy Life)."
  • D. Shelby Lynne
    Shelby Lynne is an American singer-songwriter known for her soulful blend of country, pop, and Americana, as well as her Grammy-winning vocal performances.
  • E. Jenny Wright
    Jenny Wright is an American actress best known for her roles in 1980s films such as "Near Dark," "Pink Floyd – The Wall," and "St. Elmo's Fire."
  • 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_69e11e39bf348190b541bfa16a7b71e0 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12983acfc81908013f66acb31f198 completed April 28, 2026, 9:41 p.m.
Created at: April 16, 2026, 8:32 p.m.