Triple

T19830055
Position Surface form Disambiguated ID Type / Status
Subject Universal South Records E476433 entity
Predicate signedArtist P16560 FINISHED
Object Pat Green 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: Pat Green | Statement: [Universal South Records, signedArtist, Pat Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pat Green
Context triple: [Universal South Records, signedArtist, Pat Green]
  • A. Pat Green chosen
    Pat Green is an American Texas country singer-songwriter known for helping popularize the modern Texas country music movement.
  • B. Gretchen Wilson
    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."
  • C. 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.
  • D. Terri Clark
    Terri Clark is a Canadian country music singer and songwriter known for her 1990s and 2000s hits such as "Better Things to Do" and "Girls Lie Too."
  • E. Amanda Shires
    Amanda Shires is an American singer-songwriter, fiddler, and member of the country supergroup The Highwomen, known for her genre-blending Americana and folk-influenced music.
  • 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_69d8e51c7c188190b926f3a2a7b5f881 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e656cd9b94819081a541bb6c5c2942 completed April 20, 2026, 4:39 p.m.
Created at: April 10, 2026, 1:50 p.m.