Triple
T22040936
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prejudices (essay collections) |
E544634
|
entity |
| Predicate | mainPerspective |
P8789
|
FINISHED |
| Object | agnostic |
—
|
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: agnostic | Statement: [Prejudices (essay collections), mainPerspective, agnostic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainPerspective Context triple: [Prejudices (essay collections), mainPerspective, agnostic]
-
A.
perspectiveOf
chosen
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
B.
primaryView
Indicates that one view or representation is designated as the main or default perspective among multiple possible views of the same entity or content.
-
C.
settingOfPerspective
Indicates the contextual situation, environment, or circumstances within which a particular perspective or point of view is framed or expressed.
-
D.
useOfPerspective
Indicates that one entity adopts or applies a particular visual, narrative, or conceptual viewpoint in relation to another entity or context.
-
E.
mainPresenter
Indicates that one entity serves as the primary or lead presenter for another entity, such as an event, program, or presentation.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12828fc788190a22c0e9c2372656b |
completed | April 28, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69e6f63b0d048190b241622759aab9de |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:25 p.m.