Triple
T16508228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eyes Open |
E400985
|
entity |
| Predicate | containsTrack |
P3284
|
FINISHED |
| Object | Make This Go On Forever |
E1217305
|
NE FINISHED |
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: Make This Go On Forever | Statement: [Eyes Open, containsTrack, Make This Go On Forever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Make This Go On Forever Context triple: [Eyes Open, containsTrack, Make This Go On Forever]
-
A.
Make This Go On Forever
chosen
"Make This Go On Forever" is an emotional, slow-building rock ballad by Scottish band Snow Patrol, known for its soaring climax and themes of longing and regret.
-
B.
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.
-
C.
Never Forever
"Never Forever" is a song featured on the release by the musical project Mutable Set.
-
D.
Let Forever Mean Forever
"Let Forever Mean Forever" is a song featured on the album *I Hope You're Happy* by Blue October.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e54331c8190b3c4f9de95cbbc5e |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00608038288190925586dfb7e64689 |
completed | May 10, 2026, 10:40 a.m. |
Created at: April 10, 2026, 5:14 a.m.