Triple
T4553348
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peaches & Cream |
E120419
|
entity |
| Predicate | featuresRapping |
P32387
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Peaches & Cream, featuresRapping, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresRapping Context triple: [Peaches & Cream, featuresRapping, yes]
-
A.
featuresSongwriter
Indicates that a musical work includes or credits a particular person as its songwriter.
-
B.
hasRapVocals
chosen
Indicates that an entity (such as a song, track, or performance) contains rap-style vocal parts or rapping.
-
C.
speakerFeatures
Indicates that certain characteristics, attributes, or properties are associated with a speaker in a given context.
-
D.
featuresMusician
Indicates that something (such as a work, event, or recording) prominently includes or showcases a particular musician.
-
E.
featuresVocalist
Indicates that one entity (such as a song, track, or performance) includes another entity serving as a vocalist or featured singer.
- 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd581160e08190b715a8ce5c3e6c9b |
completed | March 20, 2026, 2:22 p.m. |
| PD | Predicate disambiguation | batch_69bd5223423c81908317351b58cff5f5 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:09 p.m.