Triple
T15595125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Now and Forever |
E374872
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object |
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.
|
E1166733
|
NE FINISHED |
How this triple was built (4 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: [Now and Forever, hasTitle, Now and Forever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Now and Forever Context triple: [Now and Forever, hasTitle, 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 & Forever
"Now & Forever" is a track by Canadian rapper Drake from his 2015 commercial mixtape *If You’re Reading This It’s Too Late*.
-
C.
From Now Until Forever
"From Now Until Forever" is a song best known as the B-side to the single "What Do You Want?".
-
D.
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.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Now and Forever Triple: [Now and Forever, hasTitle, Now and Forever]
Generated description
Now and Forever is a title shared by multiple creative works, including films, novels, and songs, typically centered on enduring love or timeless commitment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Now and Forever Target entity description: Now and Forever is a title shared by multiple creative works, including films, novels, and songs, typically centered on enduring love or timeless commitment.
-
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 & Forever
"Now & Forever" is a track by Canadian rapper Drake from his 2015 commercial mixtape *If You’re Reading This It’s Too Late*.
-
C.
From Now Until Forever
"From Now Until Forever" is a song best known as the B-side to the single "What Do You Want?".
-
D.
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.
-
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. chosen
Provenance (5 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e5f9db8819083abf80f01f32b3d |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56c7db58819089cb488fb3ea96cd |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff58687e4c8190a4054c4d5419a76a |
completed | May 9, 2026, 3:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff58d92218819085877be120fdcc01 |
completed | May 9, 2026, 3:55 p.m. |
Created at: April 10, 2026, 4:12 a.m.