Triple
T15433434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gin and Juice |
E369696
|
entity |
| Predicate | chorusCatchphrase |
P53722
|
FINISHED |
| Object | with my mind on my money and my money on my mind |
—
|
LITERAL 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: with my mind on my money and my money on my mind | Statement: [Gin and Juice, chorusCatchphrase, with my mind on my money and my money on my mind]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chorusCatchphrase Context triple: [Gin and Juice, chorusCatchphrase, with my mind on my money and my money on my mind]
-
A.
chorus
Indicates that multiple entities jointly produce or participate in a coordinated vocal or expressive performance, typically as a unified group.
-
B.
featuresCatchphrase
chosen
Indicates that an entity prominently includes or is associated with a particular catchphrase.
-
C.
chorusDirector
Indicates that one entity serves as the director or leader of a chorus in relation to another entity.
-
D.
hasCatchphraseStyle
Indicates that an entity’s catchphrase conforms to, or is characterized by, a particular stylistic pattern or manner of expression.
-
E.
chorusFeature
Indicates that one entity participates in or is highlighted within the chorus section of another entity, such as a song or musical piece.
- F. None of above.
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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03eda01cc8190843e23b260b8503c |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:21 a.m.