Triple
T23373783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daydream World Tour |
E593549
|
entity |
| Predicate | hasSongInSetlist |
P33226
|
FINISHED |
| Object | 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: Forever | Statement: [Daydream World Tour, hasSongInSetlist, Forever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forever Context triple: [Daydream World Tour, hasSongInSetlist, Forever]
-
A.
Forever
Forever is a 1998 studio album by American rapper Ma$e, known for its glossy Bad Boy production and blend of smooth, radio-friendly tracks with Harlem-centric rap.
-
B.
Forever
"Forever" is a song by Bruce Springsteen featured on his 2010 album "Men Without Women."
-
C.
Forever
chosen
"Forever" is a song by the Japanese rock band Asian Kung-Fu Generation, released as a single from their album "Men Without Women."
-
D.
Forever
"Forever" is a song by the American rock band Chocolate Factory, likely featuring their characteristic blend of melodic hooks and rock instrumentation.
-
E.
Forever
"Forever" is a song by Brazilian singer and songwriter Iza from her acclaimed debut album "Telefone."
- 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_69e25d268a50819095f2fd479da8ef3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a3b0bc3c8190b1093f7ea29d015c |
completed | April 29, 2026, 6:22 a.m. |
Created at: April 17, 2026, 5:33 p.m.