Triple
T17218607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bukky Bakray |
E417914
|
entity |
| Predicate | hasGenreAsPerCareer |
P81374
|
FINISHED |
| Object | social realism |
—
|
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: social realism | Statement: [Bukky Bakray, hasGenreAsPerCareer, social realism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenreAsPerCareer Context triple: [Bukky Bakray, hasGenreAsPerCareer, social realism]
-
A.
isInGenreOfArtistCareer
chosen
Indicates that an artist’s career belongs to or is categorized within a particular artistic genre.
-
B.
hasGenreInRoles
Indicates that an entity participates in roles associated with a particular genre or set of genres.
-
C.
hasGenreInPortfolio
Indicates that an entity (such as a creator, label, or catalog) includes a particular genre within its body of work or offerings.
-
D.
belongsToWorkGenre
Indicates that a creative work is classified under or associated with a particular genre.
-
E.
workedOnGenre
Indicates that an entity (such as a person or organization) has done work related to a particular 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42ddb2b148190b3b50572cc285e3d |
completed | April 19, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69e3831e354881908c5505ffd15c84e9 |
completed | April 18, 2026, 1:11 p.m. |
Created at: April 10, 2026, 5:38 a.m.