Triple
T3204479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Discipline |
E67127
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
So Much Betta
"So Much Betta" is a track by the British electronic music duo Discipline, known for its sleek, club-oriented production and dancefloor appeal.
|
E335216
|
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: So Much Betta | Statement: [Discipline, hasTrack, So Much Betta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: So Much Betta Context triple: [Discipline, hasTrack, So Much Betta]
-
A.
So Much More
"So Much More" is a track by American rapper Big Sean from his debut studio album "Finally Famous."
-
B.
So Much Love
"So Much Love" is a soul song written by Gerry Goffin (with Carole King) that has been widely covered by artists such as Ben E. King and Dusty Springfield.
-
C.
They Say
"They Say" is a song title that has been used by multiple artists across genres, typically exploring themes of external judgment and personal identity.
-
D.
Achin’ to Be
"Achin’ to Be" is a punk rock song by the American band Pinhead Gunpowder, known for its melodic hooks and association with Green Day’s Billie Joe Armstrong.
-
E.
The Thrill
"The Thrill" is a soulful R&B track by Miguel from his album "Kaleidoscope Dream," known for its atmospheric production and introspective lyrics.
- 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: So Much Betta Triple: [Discipline, hasTrack, So Much Betta]
Generated description
"So Much Betta" is a track by the British electronic music duo Discipline, known for its sleek, club-oriented production and dancefloor appeal.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: So Much Betta Target entity description: "So Much Betta" is a track by the British electronic music duo Discipline, known for its sleek, club-oriented production and dancefloor appeal.
-
A.
So Much More
"So Much More" is a track by American rapper Big Sean from his debut studio album "Finally Famous."
-
B.
So Much Love
"So Much Love" is a soul song written by Gerry Goffin (with Carole King) that has been widely covered by artists such as Ben E. King and Dusty Springfield.
-
C.
They Say
"They Say" is a song title that has been used by multiple artists across genres, typically exploring themes of external judgment and personal identity.
-
D.
Achin’ to Be
"Achin’ to Be" is a punk rock song by the American band Pinhead Gunpowder, known for its melodic hooks and association with Green Day’s Billie Joe Armstrong.
-
E.
The Thrill
"The Thrill" is a soulful R&B track by Miguel from his album "Kaleidoscope Dream," known for its atmospheric production and introspective lyrics.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaa54124c8190a22089ce2eaedab5 |
completed | March 8, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b24bcbb0e88190b4413c4ba3de0eeb |
completed | March 12, 2026, 5:14 a.m. |
| NEDg | Description generation | batch_69b24ca05434819080ee515b1e7bdcb4 |
completed | March 12, 2026, 5:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b24d19250c81908a9c3ac95b83a473 |
completed | March 12, 2026, 5:20 a.m. |
Created at: March 8, 2026, 3:07 p.m.