Triple
T24263884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sittin' on Top of the World |
E604784
|
entity |
| Predicate | hasArtistLegalOccupation |
P115040
|
FINISHED |
| Object | rapper |
—
|
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: rapper | Statement: [Sittin' on Top of the World, hasArtistLegalOccupation, rapper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtistLegalOccupation Context triple: [Sittin' on Top of the World, hasArtistLegalOccupation, rapper]
-
A.
hasArtistLegalCountry
Indicates the legal country or jurisdiction under which an artist is officially registered or recognized.
-
B.
hasMusicalArtistOccupation
chosen
Indicates that an entity has an occupation or professional role as a musical artist.
-
C.
hasArtistLegalName
Indicates that an artist entity is associated with a specific legal (real) name used for official or formal purposes.
-
D.
hasMainPerformerOccupation
Indicates that an entity’s primary or main performer is associated with a specified occupation or professional role.
-
E.
hasArtistRole
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
- 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_69e29544c29c8190b023606eafe5d36a |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f28c6a4cc88190914f1c52567d613a |
completed | April 29, 2026, 10:55 p.m. |
| PD | Predicate disambiguation | batch_69f1c450aa508190bc9d372a5f6ee47a |
completed | April 29, 2026, 8:41 a.m. |
Created at: April 18, 2026, 12:06 a.m.