Triple
T26364640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Topeng Betawi |
E660298
|
entity |
| Predicate | maskStyle |
P160457
|
FINISHED |
| Object | stylized facial expressions |
—
|
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: stylized facial expressions | Statement: [Topeng Betawi, maskStyle, stylized facial expressions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maskStyle Context triple: [Topeng Betawi, maskStyle, stylized facial expressions]
-
A.
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.
-
B.
maskColor
Indicates the color attribute associated with a mask.
-
C.
mask
Indicates that one entity covers, conceals, or obscures another entity, typically to hide its identity, appearance, or specific features.
-
D.
marginStyle
Indicates how the margins around an element are styled or configured in relation to surrounding content.
-
E.
maskStatus
Indicates whether an entity is wearing a mask, not wearing one, or has an unspecified mask-wearing state.
- 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_69ee8126d52c8190bc0b34337c2c9aa8 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6102b07fc81908c14c1bcca28c1b0 |
completed | May 2, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69f5f800fa9c8190aab0962669fde8ac |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f6018ceb1c8190a6a5f84071659a96 |
completed | May 2, 2026, 1:52 p.m. |
Created at: April 26, 2026, 10:54 p.m.