Triple
T17172107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | So Fresh, So Clean |
E416759
|
entity |
| Predicate | label |
P38
|
FINISHED |
| Object | Arista Records |
—
|
NE ONNED1 |
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: Arista Records | Statement: [So Fresh, So Clean, label, Arista Records]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arista Records Context triple: [So Fresh, So Clean, label, Arista Records]
-
A.
Arista Records
chosen
Arista Records is a major American record label known for signing and promoting numerous successful artists across pop, R&B, and rock music.
-
B.
Capricorn Records
Capricorn Records was an influential American record label best known for pioneering and popularizing Southern rock in the 1970s.
-
C.
Polydor Records
Polydor Records is a major international record label, originally founded in Germany, known for signing and distributing a wide range of prominent popular music artists.
-
D.
ABC Records
ABC Records was a prominent American record label known for releasing influential blues, jazz, and pop recordings, including notable works by B.B. King.
-
E.
Barclay Records
Barclay Records is a historic French record label known for signing prominent Francophone artists and contributing significantly to French popular music.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0ac22481909e992bb3a6ba36ad |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0195428c6c8190a11e3f7c8f6796fe |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:37 a.m.