Triple
T14343529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | java.security |
E355658
|
entity |
| Predicate | containsClass |
P9272
|
FINISHED |
| Object | java.security.SecureRandom |
E355658
|
NE 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: java.security.SecureRandom | Statement: [java.security, containsClass, java.security.SecureRandom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: java.security.SecureRandom Context triple: [java.security, containsClass, java.security.SecureRandom]
-
A.
java.security
chosen
java.security is a core Java package that provides the framework and APIs for implementing security features such as cryptography, access control, and secure random number generation.
-
B.
MersenneTwister
MersenneTwister is a widely used pseudorandom number generator algorithm known for its long period and high-quality statistical properties.
-
C.
javax.crypto
javax.crypto is a Java package that provides the framework and implementations for cryptographic operations such as encryption, decryption, key generation, and secure random number generation.
-
D.
System.Random
System.Random is a .NET class that provides methods for generating pseudo-random numbers for use in applications.
-
E.
MRG32k3a generator
The MRG32k3a generator is a high-quality combined multiple recursive pseudorandom number generator widely used in scientific computing and simulations for its long period and good statistical properties.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8e89ed9c8190acdb647ee618e919 |
completed | April 14, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd469d899081909103563f209dd944 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.