Triple
T1719735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Active Directory |
E37362
|
entity |
| Predicate | supportsProtocol |
P203
|
FINISHED |
| Object | Kerberos |
E191937
|
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: Kerberos | Statement: [Active Directory, supportsProtocol, Kerberos]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerberos Context triple: [Active Directory, supportsProtocol, Kerberos]
-
A.
Kerberos
Kerberos is a small, irregularly shaped moon of Pluto discovered in 2011 as part of the Pluto system’s complex family of satellites.
-
B.
Kerberos
chosen
Kerberos is a network authentication protocol that uses secret-key cryptography to securely verify the identity of users and services in distributed systems.
-
C.
NTLM
NTLM is a Microsoft authentication protocol used to validate users and secure access in Windows-based networks and services.
-
D.
Mopria
Mopria is a universal mobile printing standard that enables seamless, driverless printing from devices like smartphones, tablets, and Chromebooks to compatible printers.
-
E.
Samba
Samba is an open-source software suite that enables file and print sharing and domain services between Unix/Linux systems and Windows clients using the SMB/CIFS protocol.
- 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_69a8861912dc8190931af43b4b9158a7 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa633934a4819083f2929da03453a8 |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada97dfb1c819084e750a8550d3e82 |
completed | March 8, 2026, 4:53 p.m. |
Created at: March 4, 2026, 7:30 p.m.