Triple

T17438917
Position Surface form Disambiguated ID Type / Status
Subject Brian Kelley E424095 entity
Predicate notableSongWritten P8087 FINISHED
Object Get Your Shine On 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: Get Your Shine On | Statement: [Brian Kelley, notableSongWritten, Get Your Shine On]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Get Your Shine On
Context triple: [Brian Kelley, notableSongWritten, Get Your Shine On]
  • A. Get Your Shine On chosen
    "Get Your Shine On" is a popular country song by the duo Florida Georgia Line, known for its upbeat, party-themed lyrics and catchy, radio-friendly sound.
  • B. Put the Shine On
    Put the Shine On is a 2020 experimental art-pop album by the American musical duo CocoRosie, known for its eclectic production and emotionally charged, genre-blending songs.
  • C. All the Shine
    "All the Shine" is a song by American rapper Camp, known for its introspective lyrics and atmospheric production.
  • D. Shine It On
    "Shine It On" is a song by the Allman Brothers Band featured on their 1990 album "Seven Turns."
  • E. Let It Shine
    Let It Shine is a British television music talent show that aimed to find performers for a stage musical featuring the songs of Take That.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff584cc81908207c163f19ff972 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 5:46 a.m.