Triple

T15192465
Position Surface form Disambiguated ID Type / Status
Subject City of Gold E363051 entity
Predicate hasTrack P3284 FINISHED
Object Seasons in the Sun E553485 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: Seasons in the Sun | Statement: [City of Gold, hasTrack, Seasons in the Sun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Seasons in the Sun
Context triple: [City of Gold, hasTrack, Seasons in the Sun]
  • A. Seasons in the Sun chosen
    "Seasons in the Sun" is a pop ballad famously covered by Irish boy band Westlife, showcasing their signature harmonies and emotional style.
  • B. Always in My Heart
    "Always in My Heart" is the B-side song to The Supremes' 1964 Motown single "Come See About Me."
  • C. Our Song
    "Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
  • D. Our Song
    "Our Song" is a breakout country single by Taylor Swift that she wrote in high school, known for its catchy storytelling about young love and everyday moments.
  • E. I Saw the Light
    "I Saw the Light" is a hit country song by American singer Wynonna Judd that helped establish her successful solo career in the early 1990s.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067d55ac8190b7a7fce36e6ddf3c completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fec8995bb08190bd7f0be0a0fcf1e7 completed May 9, 2026, 5:39 a.m.
Created at: April 10, 2026, 3:10 a.m.