Triple
T17783697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nwantinti |
E443961
|
entity |
| Predicate | depictsCulturalReferences |
P5142
|
FINISHED |
| Object | Nigerian magazines |
—
|
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: Nigerian magazines | Statement: [Nwantinti, depictsCulturalReferences, Nigerian magazines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: depictsCulturalReferences Context triple: [Nwantinti, depictsCulturalReferences, Nigerian magazines]
-
A.
hasCulturalDepiction
Indicates that one entity is represented, portrayed, or depicted in the cultural work or expression of another entity.
-
B.
hasCulturalReference
chosen
Indicates that one entity makes reference to, draws from, or is associated with the cultural content, symbols, or traditions represented by another entity.
-
C.
culturalDepictionBy
Indicates that one entity serves as the creator or source of a cultural representation or portrayal of another entity.
-
D.
cultureDepicted
Indicates that one entity portrays, represents, or is associated with the culture of another entity.
-
E.
commonlyDepictedOn
Indicates that something is frequently shown or represented on the surface, medium, or context of another thing.
- 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e487234fc08190b590f20caa431463 |
completed | April 19, 2026, 7:41 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:12 a.m.