Triple
T37055449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugar (Remix) feat. Nicki Minaj |
E917167
|
entity |
| Predicate | containsRapSection |
P32387
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Sugar (Remix) feat. Nicki Minaj, containsRapSection, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsRapSection Context triple: [Sugar (Remix) feat. Nicki Minaj, containsRapSection, true]
-
A.
hasRapSectionBy
Indicates that something (such as a song or track) contains a rap section performed or created by a specified artist or entity.
-
B.
hasRapVocals
chosen
Indicates that an entity (such as a song, track, or performance) contains rap-style vocal parts or rapping.
-
C.
containsChorusOf
Indicates that one entity (typically a musical work or section) includes within it a chorus performed by another entity (such as a group of singers or ensemble).
-
D.
containsRefrainAlsoFoundIn
Indicates that one entity includes a refrain that is also present in another entity.
-
E.
hasChantLikeSections
Indicates that something contains portions that resemble or function like chants in style, rhythm, or delivery.
- 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_69f76e94d0308190a3f06890e133c88e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a017114e7148190b7479284c316443d |
completed | May 11, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_6a016eebd60481909212e2a49ef95fbe |
completed | May 11, 2026, 5:53 a.m. |
Created at: May 3, 2026, 4:14 p.m.