Triple
T32761770
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Motownphilly |
E837772
|
entity |
| Predicate | usesRappedVerses |
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: [Motownphilly, usesRappedVerses, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesRappedVerses Context triple: [Motownphilly, usesRappedVerses, true]
-
A.
hasRapVocals
chosen
Indicates that an entity (such as a song, track, or performance) contains rap-style vocal parts or rapping.
-
B.
hasRapSectionBy
Indicates that something (such as a song or track) contains a rap section performed or created by a specified artist or entity.
-
C.
hasImprovisedVerses
Indicates that an entity has created or performed verses spontaneously without prior preparation.
-
D.
hasMultipleVersesByDifferentRappers
Indicates that a track contains multiple verses performed by different rappers.
-
E.
usesLyricalElementsFrom
Indicates that one work incorporates or borrows lyrical components (such as words, phrases, or stylistic features) from another work.
- 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_69f34939857c8190aa9970c51feec1eb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: May 1, 2026, 1:13 a.m.