Triple
T1965085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letters to a Frenchman on the Present Crisis |
E42669
|
entity |
| Predicate | hasAuthorialViewpoint |
P31096
|
FINISHED |
| Object | anti-statism |
—
|
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: anti-statism | Statement: [Letters to a Frenchman on the Present Crisis, hasAuthorialViewpoint, anti-statism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorialViewpoint Context triple: [Letters to a Frenchman on the Present Crisis, hasAuthorialViewpoint, anti-statism]
-
A.
hasViewpointType
chosen
Indicates that something is associated with or characterized by a particular type or category of viewpoint or perspective.
-
B.
hasAuthor
Indicates that an entity is written or created by a specific author.
-
C.
perspectiveOf
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
D.
hasAuthorRelationship
Indicates a relationship where one entity serves as the author or creator of another entity (such as a work, document, or resource).
-
E.
hasView
Indicates that one entity provides a visual perspective or outlook onto another entity or scene.
- 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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3aeb20081908b0d447d9fcdbaad |
completed | March 7, 2026, 5:12 a.m. |
| PD | Predicate disambiguation | batch_69abaff7d4a48190ab0d51aefb1c4e31 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.