Triple
T9978226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NTLMv2 |
E196384
|
entity |
| Predicate | improvesOn |
P6555
|
FINISHED |
| Object | NTLMv1 |
E196384
|
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: NTLMv1 | Statement: [NTLMv2, improvesOn, NTLMv1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NTLMv1 Context triple: [NTLMv2, improvesOn, NTLMv1]
-
A.
NTLM
chosen
NTLM is a Microsoft authentication protocol used to validate users and secure access in Windows-based networks and services.
-
B.
Kerberos
Kerberos is a network authentication protocol that uses secret-key cryptography to securely verify the identity of users and services in distributed systems.
-
C.
Kerberos
Kerberos is a small, irregularly shaped moon of Pluto discovered in 2011 as part of the Pluto system’s complex family of satellites.
-
D.
TLS 1.0
TLS 1.0 is an early version of the Transport Layer Security protocol used to secure communications over computer networks, now largely deprecated in favor of more secure later versions.
-
E.
Secure Authentication Version 5
Secure Authentication Version 5 is a security enhancement for the DNP3 protocol that provides robust authentication and protection against unauthorized control and cyber attacks in industrial control systems.
- 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_69ca82efbce081908179b4b9c65096eb |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb84ef8ac8190abbe78b7611c5309 |
completed | April 2, 2026, 12:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23dec07b48190a2c15a748324291b |
completed | April 5, 2026, 10:48 a.m. |
Created at: March 30, 2026, 8:49 p.m.