Triple
T23191613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silk |
E579754
|
entity |
| Predicate | notableAlbum |
P4
|
FINISHED |
| Object | Always and 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: Always and Forever | Statement: [Silk, notableAlbum, Always and Forever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Always and Forever Context triple: [Silk, notableAlbum, Always and Forever]
-
A.
Always & Forever
chosen
"Always & Forever" is a song featured on the album "Flesh & Blood."
-
B.
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.
-
C.
Now and Forever
"Now and Forever" is a romantic ballad by Carole King, best known as one of her later signature songs featured on her live album *The Living Room Tour*.
-
D.
Now and Forever
Now and Forever is a title shared by multiple creative works, including films, novels, and songs, typically centered on enduring love or timeless commitment.
-
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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd777c08190bf79e38844fedf27 |
completed | April 29, 2026, 4:57 a.m. |
Created at: April 17, 2026, 4:05 p.m.