Triple
T18270414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Marx |
E437593
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Now 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: Now and Forever | Statement: [Richard Marx, notableWork, Now and Forever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Now and Forever Context triple: [Richard Marx, notableWork, Now and Forever]
-
A.
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*.
-
B.
Now and Forever
chosen
Now and Forever is a title shared by multiple creative works, including films, novels, and songs, typically centered on enduring love or timeless commitment.
-
C.
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*.
-
D.
From Now Until Forever
"From Now Until Forever" is a song best known as the B-side to the single "What Do You Want?".
-
E.
Tonight and Forever
"Tonight and Forever" is a song featured on the album "Big World."
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff7d4f88819084123ed6c9e7e5b8 |
completed | April 19, 2026, 4:14 p.m. |
Created at: April 10, 2026, 10:34 a.m.