Triple
T36228775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paradise |
E891180
|
entity |
| Predicate | musicalArtistOccupationOfPerformer |
P115040
|
FINISHED |
| Object | singer-songwriter |
—
|
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: singer-songwriter | Statement: [Paradise, musicalArtistOccupationOfPerformer, singer-songwriter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalArtistOccupationOfPerformer Context triple: [Paradise, musicalArtistOccupationOfPerformer, singer-songwriter]
-
A.
artistOccupation
Indicates the professional role or job that an artist holds or performs.
-
B.
hasMusicalArtistOccupation
chosen
Indicates that an entity has an occupation or professional role as a musical artist.
-
C.
starredPerformerOccupation
Indicates the occupation or professional role of a performer who starred in a work or production.
-
D.
hasMainPerformerOccupation
Indicates that an entity’s primary or main performer is associated with a specified occupation or professional role.
-
E.
musicalArtistName
Indicates that the predicate specifies the name of a musical artist associated with an entity.
- 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_69f76e4387048190a1b27bcbf4ec7423 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fe163a41a0819098403b470e327d29 |
completed | May 8, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fe1358db5c819092570814a37ef5bd |
completed | May 8, 2026, 4:46 p.m. |
Created at: May 3, 2026, 4:09 p.m.