Triple
T19365612
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commander |
E484391
|
entity |
| Predicate | previousSingle |
P97
|
FINISHED |
| Object | Forever and a Day |
—
|
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 a Day | Statement: [Commander, previousSingle, Forever and a Day]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forever and a Day Context triple: [Commander, previousSingle, Forever and a Day]
-
A.
Forever and a Day
chosen
Forever and a Day is a James Bond spy novel by Anthony Horowitz that serves as a prequel to Ian Fleming’s Casino Royale, exploring Bond’s first mission as 007.
-
B.
Forever in a Day
Forever in a Day is the second studio album by American R&B group Day26, showcasing their smooth harmonies and contemporary urban sound.
-
C.
Forever and Ever
"Forever and Ever" is a popular 1973 pop ballad by Greek singer Demis Roussos that became one of his signature international hits.
-
D.
Yours Forever
"Yours Forever" is a pop-R&B song by Australian singer Jessica Mauboy, showcasing her soulful vocals and contemporary production style.
-
E.
Last Forever
"Last Forever" is the two-part series finale of the American sitcom How I Met Your Mother, known for its controversial conclusion to the long-running story.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619aa9ff48190b1ede47fb88a682e |
completed | April 20, 2026, 12:18 p.m. |
Created at: April 10, 2026, 1:35 p.m.