Triple
T23965163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uptown Top Ranking |
E604055
|
entity |
| Predicate | basedOnRiddim |
P70238
|
FINISHED |
| Object | I’m Still in Love with You |
—
|
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: I’m Still in Love with You | Statement: [Uptown Top Ranking, basedOnRiddim, I’m Still in Love with You]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedOnRiddim Context triple: [Uptown Top Ranking, basedOnRiddim, I’m Still in Love with You]
-
A.
knownForRiddim
Indicates that one entity is recognized or notable for creating, using, or being associated with a particular riddim (a specific instrumental rhythm or beat).
-
B.
basedOnSongBy
chosen
Indicates that one entity is derived from, adapted from, or otherwise created using a particular song as its source or inspiration.
-
C.
basedOnSongFrom
Indicates that one creative work is derived from, adapted from, or otherwise based on a particular song.
-
D.
hasDanceableRhythm
Indicates that something possesses a rhythm or beat suitable for dancing.
-
E.
basedOnRaga
Indicates that something (such as a composition, performance, or musical element) is derived from, structured around, or primarily influenced by a particular raga.
- 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_69e29543019c8190872462e593cc50b4 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f1d1d7077881909d4774b7040cd722 |
completed | April 29, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_69f161578d54819084a8b35496299993 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 9:24 p.m.