Triple
T28904492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oceania (Nineteen Eighty-Four) |
E733035
|
entity |
| Predicate | propagandaTool |
P20122
|
FINISHED |
| Object | Big Brother posters |
—
|
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: Big Brother posters | Statement: [Oceania (Nineteen Eighty-Four), propagandaTool, Big Brother posters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propagandaTool Context triple: [Oceania (Nineteen Eighty-Four), propagandaTool, Big Brother posters]
-
A.
propagandaOrgan
Indicates that one entity functions as a propaganda-producing or propaganda-disseminating organ on behalf of another entity.
-
B.
propagandaFocus
Indicates that the primary emphasis or target of a piece of propaganda is directed toward a particular entity or subject.
-
C.
propagandaSide
Indicates that one entity is the side, party, or viewpoint being promoted or supported by another entity’s propaganda.
-
D.
languageOfPropaganda
Indicates that a particular language is used as the medium or vehicle for disseminating propaganda.
-
E.
typeOfPropaganda
chosen
Indicates that one entity is a specific kind or category of propaganda employed or represented by 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65ad948748190abe57197575a19dc |
completed | May 2, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69f6576487e081908d802f1caf59c423 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 8:05 a.m.