Triple
T17881028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nineteen Forever |
E447083
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Nineteen Forever |
—
|
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: Nineteen Forever | Statement: [Nineteen Forever, hasTitle, Nineteen Forever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nineteen Forever Context triple: [Nineteen Forever, hasTitle, Nineteen Forever]
-
A.
Nineteen Forever
chosen
"Nineteen Forever" is a song by English musician Joe Jackson, known for its satirical take on aging and rock-star vanity.
-
B.
The Great Forever
"The Great Forever" is a song by Janet Jackson from her 2015 album "Unbreakable."
-
C.
Finally Forever
"Finally Forever" is a song featured on the album "Carry On," likely contributing to its overall rock and melodic style.
-
D.
How Forever Feels
"How Forever Feels" is a popular late-1990s country song by Kenny Chesney that became one of his early signature hits.
-
E.
See Forever
See Forever is the promotional slogan used by One World Observatory to evoke its expansive, panoramic views over New York City and beyond.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c0e56bc819097649377b520de63 |
completed | April 19, 2026, 9:10 a.m. |
Created at: April 10, 2026, 10:18 a.m.