Triple
T20269958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fiyero |
E499066
|
entity |
| Predicate | occupationInMusical |
P139481
|
FINISHED |
| Object | student at Shiz University |
—
|
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: student at Shiz University | Statement: [Fiyero, occupationInMusical, student at Shiz University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: occupationInMusical Context triple: [Fiyero, occupationInMusical, student at Shiz University]
-
A.
employedMusician
Indicates that a musician is employed, typically by an organization, venue, or individual, to perform musical work.
-
B.
hasMusicalArtistOccupation
Indicates that an entity has an occupation or professional role as a musical artist.
-
C.
artistOccupation
Indicates the professional role or job that an artist holds or performs.
-
D.
typeOfMusicProfessional
Indicates the specific professional role or occupation someone holds within the field of music.
-
E.
musicIndustryRole
Indicates the professional function or position an entity holds within the music industry ecosystem.
- F. None of above. chosen
Provenance (4 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e675dc8e708190b840d687f134c9e8 |
completed | April 20, 2026, 6:52 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:42 p.m.