Triple
T22389850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fool Again |
E553484
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Seasons in the Sun |
—
|
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: Seasons in the Sun | Statement: [Fool Again, follows, Seasons in the Sun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seasons in the Sun Context triple: [Fool Again, follows, 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 track by the American rock band Therapy? known for their alternative metal and punk-influenced sound.
-
E.
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.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15859853c8190b849cb34a94106da |
completed | April 29, 2026, 1:01 a.m. |
Created at: April 16, 2026, 8:45 p.m.