Triple
T28974261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She Wolf (Moto Blanco Remix) |
E734361
|
entity |
| Predicate | originalPerformerOccupation |
P11499
|
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: [She Wolf (Moto Blanco Remix), originalPerformerOccupation, singer-songwriter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalPerformerOccupation Context triple: [She Wolf (Moto Blanco Remix), originalPerformerOccupation, singer-songwriter]
-
A.
starredPerformerOccupation
Indicates the occupation or professional role of a performer who starred in a work or production.
-
B.
hasMainPerformerOccupation
Indicates that an entity’s primary or main performer is associated with a specified occupation or professional role.
-
C.
originalPerformer
chosen
Indicates that an entity is the first or initial performer of a work, role, or performance.
-
D.
artistOccupation
Indicates the professional role or job that an artist holds or performs.
-
E.
originalPerformerGenre
Indicates that a performer is originally associated with or primarily known for a particular musical or artistic genre.
- 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_69f05b0d1e7c819092baab93d3fe277e |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69ff2fbae9b48190847eefa1c227d43e |
completed | May 9, 2026, 12:59 p.m. |
| PD | Predicate disambiguation | batch_69ff2f2218048190a32224a648182b5d |
completed | May 9, 2026, 12:57 p.m. |
Created at: April 28, 2026, 9:07 a.m.