Triple
T32760007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Spark |
E837729
|
entity |
| Predicate | mainArtistProfession |
P115040
|
FINISHED |
| Object | DJ |
—
|
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: DJ | Statement: [The Spark, mainArtistProfession, DJ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainArtistProfession Context triple: [The Spark, mainArtistProfession, DJ]
-
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.
hasArtistRole
Indicates that an entity serves in the capacity or role of an artist in relation to another entity or context.
-
D.
occupationInMusical
Indicates that an entity holds a specific occupation or role within the context of a musical work or production.
-
E.
roleInArtistCareers
Indicates the specific function or contribution an entity has had in shaping, supporting, or influencing one or more artists’ professional careers.
- 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_69f34939857c8190aa9970c51feec1eb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ffbad8848190867c2988c0ceb84f |
completed | May 3, 2026, 7:56 a.m. |
| PD | Predicate disambiguation | batch_69f6fc5740fc81909774a4f65201a3ff |
completed | May 3, 2026, 7:42 a.m. |
Created at: May 1, 2026, 1:13 a.m.