Triple

T18085512
Position Surface form Disambiguated ID Type / Status
Subject Years & Years E432823 entity
Predicate notableWork P4 FINISHED
Object Shine
"Shine" is a synth-pop song by the British band Years & Years that helped bring them mainstream recognition with its catchy melody and emotive lyrics.
 E1305974 NE FINISHED

How this triple was built (4 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: Shine | Statement: [Years & Years, notableWork, Shine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Shine
Context triple: [Years & Years, notableWork, Shine]
  • A. Shine
    "Shine" is a late-career studio album by Canadian singer-songwriter Joni Mitchell, noted for its reflective, politically conscious songs and sparse, jazz-influenced arrangements.
  • B. Shine
    Shine is a creative work, likely in music or film, best known as the creator or primary artist behind the piece "Back in Love."
  • C. Shine
    Shine is an album best known for featuring the track "Come Over."
  • D. Shine
    "Shine" is a solo blues-rock album by British guitarist Bernie Marsden, showcasing his melodic playing and songwriting outside of his work with Whitesnake.
  • E. Shine
    "Shine" is a pop song by British boy band Take That, known for its upbeat, retro-inspired sound and success as a major UK hit.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Shine
Triple: [Years & Years, notableWork, Shine]
Generated description
"Shine" is a synth-pop song by the British band Years & Years that helped bring them mainstream recognition with its catchy melody and emotive lyrics.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Shine
Target entity description: "Shine" is a synth-pop song by the British band Years & Years that helped bring them mainstream recognition with its catchy melody and emotive lyrics.
  • A. Shine
    "Shine" is a pop song by British boy band Take That, known for its upbeat, retro-inspired sound and success as a major UK hit.
  • B. Shine
    "Shine" is a song by the Japanese pop duo Arashi, released as the second single from their album "Beautiful World."
  • C. Shine
    "Shine" is a breakthrough 1993 rock single by Collective Soul that became their signature hit and a defining song of 1990s post-grunge.
  • D. Shine
    "Shine" is a hip-hop track by the California rap duo Audio Push, known for its motivational lyrics and polished, West Coast-influenced production.
  • E. Shine
    "Shine" is a song featured on the album *Alas, I Cannot Swim* by British singer-songwriter Laura Marling.
  • F. None of above. chosen

Provenance (5 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fdb00c8190b4769699e94c8941 completed April 19, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a035d97912c8190b5d281ddd08de4f1 completed May 12, 2026, 5:04 p.m.
NEDg Description generation batch_6a036e9077308190be6e7d228dcf11b4 completed May 12, 2026, 6:16 p.m.
NED2 Entity disambiguation (via description) batch_6a03795b255c8190a84ca0ce2fda4599 completed May 12, 2026, 7:02 p.m.
Created at: April 10, 2026, 10:27 a.m.