Triple
T23256940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sande society |
E581898
|
entity |
| Predicate | SoweiMaskRepresents |
P151558
|
FINISHED |
| Object | idealized female beauty |
—
|
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: idealized female beauty | Statement: [Sande society, SoweiMaskRepresents, idealized female beauty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SoweiMaskRepresents Context triple: [Sande society, SoweiMaskRepresents, idealized female beauty]
-
A.
mask
Indicates that one entity covers, conceals, or obscures another entity, typically to hide its identity, appearance, or specific features.
-
B.
mainMask
Indicates that one entity serves as the primary or default mask applied to another entity or process.
-
C.
traditionalMaskType
Indicates the specific kind or category of traditional mask associated with an entity.
-
D.
mayMask
Indicates that one entity is permitted or able to conceal, obscure, or hide another entity or its properties.
-
E.
hasBlackFacialMask
Indicates that an entity possesses a black-colored marking or pattern resembling a mask on its face.
- 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_69e246079f58819085eaa9c260906880 |
completed | April 17, 2026, 2:39 p.m. |
| NER | Named-entity recognition | batch_69f194c5f5bc8190ac8776f7f7430209 |
completed | April 29, 2026, 5:19 a.m. |
| PD | Predicate disambiguation | batch_69effce4d704819092826931d430e8c4 |
completed | April 28, 2026, 12:18 a.m. |
| PDg | Predicate description generation | batch_69f01d8770d081908897c28b04e5faea |
completed | April 28, 2026, 2:37 a.m. |
Created at: April 17, 2026, 4:11 p.m.