Triple
T17794935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shavasana II |
E444264
|
entity |
| Predicate | reflectsPerspectiveOf |
P8789
|
FINISHED |
| Object | Black women |
—
|
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: Black women | Statement: [Shavasana II, reflectsPerspectiveOf, Black women]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsPerspectiveOf Context triple: [Shavasana II, reflectsPerspectiveOf, Black women]
-
A.
perspectiveOf
chosen
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
B.
useOfPerspective
Indicates that one entity adopts or applies a particular visual, narrative, or conceptual viewpoint in relation to another entity or context.
-
C.
knownForPerspective
Indicates that an entity is recognized or notable for a particular viewpoint, angle, or way of seeing or interpreting something.
-
D.
settingOfPerspective
Indicates the contextual situation, environment, or circumstances within which a particular perspective or point of view is framed or expressed.
-
E.
reflects
Indicates that one entity (often a surface, medium, or representation) throws back, mirrors, or otherwise shows an image, property, or state of another 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48799f9608190bc97264c849278a0 |
completed | April 19, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:13 a.m.