Triple
T5937272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 99 Problems |
E132072
|
entity |
| Predicate | chorusContainsLyric |
P18290
|
FINISHED |
| Object | I got 99 problems but a bitch ain't one |
—
|
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: I got 99 problems but a bitch ain't one | Statement: [99 Problems, chorusContainsLyric, I got 99 problems but a bitch ain't one]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chorusContainsLyric Context triple: [99 Problems, chorusContainsLyric, I got 99 problems but a bitch ain't one]
-
A.
hasChorusBy
Indicates that something (typically a musical work or song) includes a chorus section that is performed, written, or provided by a specified entity.
-
B.
hasLyricCharacter
Indicates that a musical work or song includes a specific character or persona within its lyrics.
-
C.
hasLyric
chosen
Indicates that one entity (typically a musical work or track) contains or is associated with the lyrics provided by another entity.
-
D.
hasChorus
Indicates that something (typically a song or musical piece) includes a chorus section as part of its structure.
-
E.
hasVerseChorusStructure
Indicates that something, typically a musical composition, is organized using a recurring pattern of verses and choruses.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03f26f51881908cc253fe5775a1fc |
completed | March 22, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69c03355caf08190b960563a1aed23f9 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 4:01 p.m.