Triple
T20645236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Djo |
E507338
|
entity |
| Predicate | occupationOfPerformer |
P24742
|
FINISHED |
| Object | musician |
—
|
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: musician | Statement: [Djo, occupationOfPerformer, musician]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationOfPerformer Context triple: [Djo, occupationOfPerformer, musician]
-
A.
artistOccupation
chosen
Indicates the professional role or job that an artist holds or performs.
-
B.
occupationInMusical
Indicates that an entity holds a specific occupation or role within the context of a musical work or production.
-
C.
hasMainPerformerOccupation
Indicates that an entity’s primary or main performer is associated with a specified occupation or professional role.
-
D.
occupationOfActress
Indicates that the specified occupation is the professional role held by a person who is an actress.
-
E.
partOfCreativeCareerOf
Indicates that one entity represents a work, role, or activity that forms a component or phase within another entity’s overall creative career.
- 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_69e0b4be702c8190a3d2410a881d310a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6af1dd79481909de985d03ab861c2 |
completed | April 20, 2026, 10:56 p.m. |
| PD | Predicate disambiguation | batch_69e5c0315f5081908098707c6455e56e |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:43 a.m.