Triple
T1006416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Communication Theory of Secrecy Systems |
E21722
|
entity |
| Predicate | showsThat |
P21543
|
FINISHED |
| Object | one-time pad can achieve perfect secrecy |
—
|
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: one-time pad can achieve perfect secrecy | Statement: [Communication Theory of Secrecy Systems, showsThat, one-time pad can achieve perfect secrecy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsThat Context triple: [Communication Theory of Secrecy Systems, showsThat, one-time pad can achieve perfect secrecy]
-
A.
showType
Indicates the category or format in which something is presented or displayed (e.g., type of show, presentation, or display mode).
-
B.
shows
Indicates that one entity presents, displays, or makes another entity visible or known to an audience or observer.
-
C.
notableShow
Indicates that a show is especially prominent, distinguished, or significant in some noteworthy way.
-
D.
showSchedule
Indicates that an entity presents or displays a timetable or planned sequence of events for another entity.
-
E.
showsFurniture
Indicates that one entity visually presents or displays furniture items to another entity or audience.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b51434f081909b301ad1c151af03 |
completed | March 1, 2026, 9:52 p.m. |
| PD | Predicate disambiguation | batch_69a4b2b2e7108190b338b6c19d4aff55 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b327cac881908d9297bf6d5cc844 |
completed | March 1, 2026, 9:44 p.m. |
Created at: March 1, 2026, 7:41 p.m.