Triple
T31501843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dawn Lerner |
E803706
|
entity |
| Predicate | authorityStyle |
P192438
|
FINISHED |
| Object | authoritarian |
—
|
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: authoritarian | Statement: [Dawn Lerner, authorityStyle, authoritarian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: authorityStyle Context triple: [Dawn Lerner, authorityStyle, authoritarian]
-
A.
authority
Indicates that one entity has the power, right, or official capacity to direct, control, or make decisions for another entity or over a particular domain.
-
B.
authorityWithin
Indicates that one entity holds recognized power, control, or decision-making authority inside the scope, domain, or jurisdiction defined by another entity.
-
C.
authorStyle
Indicates the stylistic characteristics or manner of expression associated with a particular author in their works.
-
D.
styleGranted
Indicates that a particular style, manner, or mode of expression has been conferred or authorized for use by one entity to another.
-
E.
usesAuthorityOf
Indicates that one entity exercises power, rights, or influence derived from or on behalf of another entity’s authority.
- 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_69f348cae52081909fa8e5f697523ae3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
| PDg | Predicate description generation | batch_69fd0b92150881909b1166fe6d09aa19 |
completed | May 7, 2026, 10 p.m. |
Created at: April 30, 2026, 9:44 p.m.