Triple
T13995451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Notorious |
E336683
|
entity |
| Predicate | featuresRappedSections |
P95616
|
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: [Notorious, featuresRappedSections, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresRappedSections Context triple: [Notorious, featuresRappedSections, true]
-
A.
featuresACapellaSections
Indicates that the subject contains one or more sections performed a cappella, without instrumental accompaniment.
-
B.
featuresRappingStyle
Indicates that one entity (such as a song, performance, or artist’s work) includes or showcases a particular rapping style.
-
C.
featuresRapperOrMC
chosen
Indicates that something (such as a track, album, or performance) includes a rapper or MC as a featured participant.
-
D.
featuresRiff
Indicates that something includes or prominently showcases a specific musical riff.
-
E.
featuresSegment
Indicates that one entity includes or highlights a particular segment or portion of another entity as a notable part of it.
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb53f508190855cd69b8061dd77 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.