Triple
T25190310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wildside |
E630848
|
entity |
| Predicate | featuresSpokenRapVocalsBy |
P95616
|
FINISHED |
| Object | Mark Wahlberg |
—
|
NE NERFINISHED |
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: Mark Wahlberg | Statement: [Wildside, featuresSpokenRapVocalsBy, Mark Wahlberg]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresSpokenRapVocalsBy Context triple: [Wildside, featuresSpokenRapVocalsBy, Mark Wahlberg]
-
A.
hasRapVocals
Indicates that an entity (such as a song, track, or performance) contains rap-style vocal parts or rapping.
-
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.
featuresVocal
Indicates that one entity includes or presents the vocal performance or voice of another entity.
-
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_69e75a8a6d088190ba1e82a4345225e7 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f676c440708190a4b9974e95d2291a |
completed | May 2, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69f675fd59608190b246383435e68fce |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 21, 2026, 12:45 p.m.