Triple
T20267187
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What Happens Next |
E498998
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Forever and Ever |
—
|
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: Forever and Ever | Statement: [What Happens Next, hasTrack, Forever and Ever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forever and Ever Context triple: [What Happens Next, hasTrack, Forever and Ever]
-
A.
Forever and Ever
chosen
"Forever and Ever" is a popular 1973 pop ballad by Greek singer Demis Roussos that became one of his signature international hits.
-
B.
Forever Everlasting
Forever Everlasting is the 1990 debut studio album by American rapper Everlast, showcasing his early solo work before his later success with House of Pain.
-
C.
Never for Ever
Never for Ever is a 1980 art-pop album by English singer-songwriter Kate Bush, noted for its experimental production, theatrical storytelling, and being her first UK number-one record.
-
D.
Forever & Always
"Forever & Always" is a country-pop breakup song by Taylor Swift, featured on her album "Fearless" and known for its emotional lyrics about a sudden end to a relationship.
-
E.
Now & Forever
"Now & Forever" is a track by Canadian rapper Drake from his 2015 commercial mixtape *If You’re Reading This It’s Too Late*.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674d001f081908910eedd262ae13a |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:42 p.m.