Triple

T11124628
Position Surface form Disambiguated ID Type / Status
Subject Roses in the Snow E263102 entity
Predicate previousWork P9710 FINISHED
Object Blue Kentucky Girl E263101 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: Blue Kentucky Girl | Statement: [Roses in the Snow, previousWork, Blue Kentucky Girl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue Kentucky Girl
Context triple: [Roses in the Snow, previousWork, Blue Kentucky Girl]
  • A. Blue Kentucky Girl chosen
    "Blue Kentucky Girl" is a classic country music album by Emmylou Harris, celebrated for its traditional sound and acclaimed vocal performances.
  • B. Blue Moon of Kentucky
    "Blue Moon of Kentucky" is a bluegrass waltz written and originally recorded by Bill Monroe that later became famous in a rockabilly style through Elvis Presley's early Sun Records recording.
  • C. Moonshine Blues
    "Moonshine Blues" is a classic early blues song popularized by pioneering American blues singer Ma Rainey.
  • D. Tennessee Rose
    "Tennessee Rose" is a song by the American country band Cimarron.
  • E. Shotgun Willie
    Shotgun Willie is a 1973 country album by Willie Nelson that marked a creative turning point in his career and helped launch the outlaw country movement.
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7e82e933481908550499cf9dd6531 completed April 9, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69e462f5fe708190835e427b6bf99f13 completed April 19, 2026, 5:07 a.m.
Created at: April 8, 2026, 9:28 p.m.