Triple
T32516983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Signal Protocol |
E831084
|
entity |
| Predicate | formalAnalysis |
P170
|
FINISHED |
| Object | subject of academic cryptographic analysis |
—
|
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: subject of academic cryptographic analysis | Statement: [Signal Protocol, formalAnalysis, subject of academic cryptographic analysis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formalAnalysis Context triple: [Signal Protocol, formalAnalysis, subject of academic cryptographic analysis]
-
A.
formalismFeature
Indicates that something is a characteristic, component, or property that belongs to or defines a particular formal system or formalism.
-
B.
analyzes
chosen
Indicates that one entity systematically examines or evaluates another entity to understand its nature, structure, or components.
-
C.
formalization
Indicates that an informal concept, process, or agreement is being expressed, structured, or codified in a formal, explicit, and often standardized way.
-
D.
formalCharacteristics
Indicates that one entity specifies or describes the official, structured, or formally defined attributes or properties of another entity.
-
E.
analysisMode
Indicates that an entity is operating under a specific analytical configuration or method for processing or evaluating information.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1 a.m.