Triple

T22494415
Position Surface form Disambiguated ID Type / Status
Subject Kenneth Lauren Burns E556100 entity
Predicate notableWork P4 FINISHED
Object Country Music 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: Country Music | Statement: [Kenneth Lauren Burns, notableWork, Country Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Country Music
Context triple: [Kenneth Lauren Burns, notableWork, Country Music]
  • A. Country Music chosen
    Country Music is a documentary film series by Ken Burns that explores the history, evolution, and cultural impact of country music in the United States.
  • B. Country and Western
    "Country and Western" is a song featured on the album *Damn Country Music* by Tim McGraw.
  • C. Country Song
    "Country Song" is a 2011 post-grunge/alternative metal single by South African rock band Seether, known for its heavy riffs and melodic hooks.
  • D. Country Side
    "Country Side" is a music track, likely in the hip-hop or rap genre, released by the artist Jamz.
  • E. Country Was
    Country Was is the first full-length studio album by American folk-rock band The Avett Brothers, showcasing their early blend of bluegrass, folk, and Americana influences.
  • 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_69e11e5445bc8190b6a9481926db3355 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15cb0dfb88190a4175e5e95d7ad4b completed April 29, 2026, 1:19 a.m.
Created at: April 16, 2026, 8:49 p.m.