Triple
T28135501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Hessian |
E714189
|
entity |
| Predicate | hasAuthorPoliticalBackground |
P78376
|
FINISHED |
| Object | left-wing |
—
|
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: left-wing | Statement: [The Hessian, hasAuthorPoliticalBackground, left-wing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorPoliticalBackground Context triple: [The Hessian, hasAuthorPoliticalBackground, left-wing]
-
A.
hasAuthorPoliticalActivity
Indicates that an author is engaged in, associated with, or has participated in political activities or actions.
-
B.
hasAuthorPoliticalPosition
Indicates that an author holds or is associated with a specific political position or stance.
-
C.
politicalBackground
Indicates the political history, affiliations, or ideological context associated with an entity.
-
D.
hasAuthorPoliticalAlignment
chosen
Indicates that an author is associated with or identified as having a particular political alignment or ideology.
-
E.
hasPoliticalFigure
Indicates a relationship where an entity is associated with or includes a specific political figure in a relevant role or context.
- 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_69efd6af156c81908f50c2cd7db0e1ef |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6bbf6e33c819086e5176d64e7a614 |
completed | May 3, 2026, 3:07 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6b1e6c8190adf9d6a257e0b744 |
completed | May 3, 2026, 3 a.m. |
Created at: April 27, 2026, 9:49 p.m.