Triple
T19667160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Sweet |
E472227
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Tomorrow Forever
Tomorrow Forever is a 2017 studio album by American alternative rock musician Matthew Sweet, known for its melodic power-pop sound and introspective songwriting.
|
E1389020
|
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: Tomorrow Forever | Statement: [Matthew Sweet, notableWork, Tomorrow Forever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tomorrow Forever Context triple: [Matthew Sweet, notableWork, Tomorrow Forever]
-
A.
Future Forever
Future Forever is a track from Björk’s 2017 album "Utopia," known for its ethereal production and introspective, hopeful lyrics.
-
B.
Finally Forever
"Finally Forever" is a song featured on the album "Carry On," likely contributing to its overall rock and melodic style.
-
C.
Mine Forever
"Mine Forever" is a melancholic indie folk song by American band Lord Huron, known for its cinematic atmosphere, nostalgic storytelling, and themes of lost love and longing.
-
D.
The Great Forever
"The Great Forever" is a song by Janet Jackson from her 2015 album "Unbreakable."
-
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. 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: Tomorrow Forever Triple: [Matthew Sweet, notableWork, Tomorrow Forever]
Generated description
Tomorrow Forever is a 2017 studio album by American alternative rock musician Matthew Sweet, known for its melodic power-pop sound and introspective songwriting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tomorrow Forever Target entity description: Tomorrow Forever is a 2017 studio album by American alternative rock musician Matthew Sweet, known for its melodic power-pop sound and introspective songwriting.
-
A.
Future Forever
Future Forever is a track from Björk’s 2017 album "Utopia," known for its ethereal production and introspective, hopeful lyrics.
-
B.
Finally Forever
"Finally Forever" is a song featured on the album "Carry On," likely contributing to its overall rock and melodic style.
-
C.
Mine Forever
"Mine Forever" is a melancholic indie folk song by American band Lord Huron, known for its cinematic atmosphere, nostalgic storytelling, and themes of lost love and longing.
-
D.
The Great Forever
"The Great Forever" is a song by Janet Jackson from her 2015 album "Unbreakable."
-
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. 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e641694e448190bc734c07ae2df024 |
completed | April 20, 2026, 3:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0787ba7fa88190940083085ded9f81 |
completed | May 15, 2026, 8:53 p.m. |
| NEDg | Description generation | batch_6a0788c801588190bd4b9953a68f45de |
completed | May 15, 2026, 8:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a078939b6348190a137bc39c42b5953 |
completed | May 15, 2026, 8:59 p.m. |
Created at: April 10, 2026, 1:45 p.m.