Triple
T22488044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roger Dingledine |
E555942
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Onion routing implementations in Tor |
—
|
NE NERFINISHED |
How this triple was built (3 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: Onion routing implementations in Tor | Statement: [Roger Dingledine, notableWork, Onion routing implementations in Tor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Onion routing implementations in Tor Context triple: [Roger Dingledine, notableWork, Onion routing implementations in Tor]
-
A.
Pluggable transports
Pluggable transports are modular protocols used by Tor to disguise and obfuscate network traffic, helping users circumvent censorship and traffic analysis.
-
B.
Onion services
Onion services are anonymous, end-to-end encrypted network services accessible only through the Tor network, designed to protect the privacy and location of both users and service operators.
-
C.
The Tor Project
The Tor Project is a nonprofit organization that develops and maintains privacy-focused tools—most notably the Tor anonymity network—to enable secure, uncensored communication online.
-
D.
Network-in-Network architecture
Network-in-Network architecture is a convolutional neural network design that replaces traditional linear convolution layers with micro multilayer perceptrons (MLPs) to enhance feature abstraction and model expressiveness.
-
E.
The Secure Shell (SSH) Transport Layer Protocol
The Secure Shell (SSH) Transport Layer Protocol is the core low-level component of SSH that provides secure, encrypted, and integrity-protected communication over an insecure network, forming the foundation for higher-level SSH services.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Onion routing implementations in Tor Target entity description: Onion routing implementations in Tor are the core software mechanisms that enable Tor’s anonymous communication network by encrypting and routing internet traffic through multiple volunteer-operated relays.
-
A.
Pluggable transports
Pluggable transports are modular protocols used by Tor to disguise and obfuscate network traffic, helping users circumvent censorship and traffic analysis.
-
B.
Onion services
Onion services are anonymous, end-to-end encrypted network services accessible only through the Tor network, designed to protect the privacy and location of both users and service operators.
-
C.
The Tor Project
The Tor Project is a nonprofit organization that develops and maintains privacy-focused tools—most notably the Tor anonymity network—to enable secure, uncensored communication online.
-
D.
Network-in-Network architecture
Network-in-Network architecture is a convolutional neural network design that replaces traditional linear convolution layers with micro multilayer perceptrons (MLPs) to enhance feature abstraction and model expressiveness.
-
E.
The Secure Shell (SSH) Transport Layer Protocol
The Secure Shell (SSH) Transport Layer Protocol is the core low-level component of SSH that provides secure, encrypted, and integrity-protected communication over an insecure network, forming the foundation for higher-level SSH services.
- F. None of above. chosen
Provenance (2 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_69e11e53897c819088863779f8c50bb0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15c3e73108190be5ca89ea96a85e4 |
completed | April 29, 2026, 1:17 a.m. |
Created at: April 16, 2026, 8:49 p.m.