Triple
T28904867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London, Airstrip One |
E733043
|
entity |
| Predicate | communicationControlInFiction |
P169293
|
FINISHED |
| Object | Newspeak promotion |
—
|
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: Newspeak promotion | Statement: [London, Airstrip One, communicationControlInFiction, Newspeak promotion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: communicationControlInFiction Context triple: [London, Airstrip One, communicationControlInFiction, Newspeak promotion]
-
A.
communicationPrinciple
Indicates a guiding rule or norm that shapes how communication should be conducted between entities.
-
B.
communicationTrait
Indicates a characteristic or quality related to how an entity communicates or engages in communication.
-
C.
communicationPhilosophy
Indicates the guiding principles or approach an entity uses when communicating with others, such as tone, style, and core beliefs about how communication should occur.
-
D.
communicationEffect
Indicates that one entity’s act of communication causes a change or effect in another entity’s state, behavior, or information.
-
E.
commandStructureInFiction
Indicates a hierarchical command or authority relationship that exists between characters or groups within a fictional setting.
- 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_69f05b096d208190958a57d2e4b5a93a |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f67de7792c81909b5e4e812d143624 |
completed | May 2, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69f678ce54b081908c26edfd49e39c60 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f67d31cc60819084f64bd056e1ea4d |
completed | May 2, 2026, 10:39 p.m. |
Created at: April 28, 2026, 8:06 a.m.