Triple
T11166959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ipunu |
E264183
|
entity |
| Predicate | maskStyleInfluence |
P19247
|
FINISHED |
| Object | Central African mask traditions |
—
|
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: Central African mask traditions | Statement: [Ipunu, maskStyleInfluence, Central African mask traditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maskStyleInfluence Context triple: [Ipunu, maskStyleInfluence, Central African mask traditions]
-
A.
maskColor
Indicates the color attribute associated with a mask.
-
B.
marginStyle
Indicates how the margins around an element are styled or configured in relation to surrounding content.
-
C.
maskPattern
Indicates a relationship where one entity serves as a masking template or pattern that determines which parts or aspects of another entity are revealed, hidden, or transformed.
-
D.
styleTendsTo
chosen
Indicates that one style is generally inclined or likely to develop, appear, or be adopted in the direction of another style.
-
E.
structuralStyle
Indicates the architectural or design style that characterizes the structure or form of an entity.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e88843cc81909e503f0921c6d297 |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cec26fc8190a5497d186306f935 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.