Triple
T1717762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kali Linux |
E37327
|
entity |
| Predicate | developer |
P73
|
FINISHED |
| Object |
Offensive Security
Offensive Security is a cybersecurity training and certification company best known for its hands-on penetration testing courses and the OSCP certification.
|
E192895
|
NE FINISHED |
How this triple was built (4 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: Offensive Security | Statement: [Kali Linux, developer, Offensive Security]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Offensive Security Context triple: [Kali Linux, developer, Offensive Security]
-
A.
Carnegie Mellon University Red Team
The Carnegie Mellon University Red Team was a pioneering robotics group from Carnegie Mellon that developed autonomous vehicles and gained prominence for its strong performance in DARPA’s early self-driving car competitions.
-
B.
Office of Cyber Threat and Investigations
The Office of Cyber Threat and Investigations is a specialized unit within the U.S. Department of State’s Diplomatic Security Service that investigates and responds to cyber threats targeting U.S. diplomatic personnel, facilities, and information systems.
-
C.
Cybersecurity Division
The Cybersecurity Division is a key operational branch of the Cybersecurity and Infrastructure Security Agency responsible for protecting federal networks and critical infrastructure from cyber threats.
-
D.
Surveillance Self-Defense
Surveillance Self-Defense is an online guide created by the Electronic Frontier Foundation that teaches individuals and organizations practical strategies and tools to protect their privacy and security in the digital world.
-
E.
Infrastructure Security Division
The Infrastructure Security Division is a component of the U.S. Cybersecurity and Infrastructure Security Agency responsible for protecting and enhancing the resilience of the nation’s critical physical infrastructure.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Offensive Security Triple: [Kali Linux, developer, Offensive Security]
Generated description
Offensive Security is a cybersecurity training and certification company best known for its hands-on penetration testing courses and the OSCP certification.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Offensive Security Target entity description: Offensive Security is a cybersecurity training and certification company best known for its hands-on penetration testing courses and the OSCP certification.
-
A.
Carnegie Mellon University Red Team
The Carnegie Mellon University Red Team was a pioneering robotics group from Carnegie Mellon that developed autonomous vehicles and gained prominence for its strong performance in DARPA’s early self-driving car competitions.
-
B.
Office of Cyber Threat and Investigations
The Office of Cyber Threat and Investigations is a specialized unit within the U.S. Department of State’s Diplomatic Security Service that investigates and responds to cyber threats targeting U.S. diplomatic personnel, facilities, and information systems.
-
C.
Cybersecurity Division
The Cybersecurity Division is a key operational branch of the Cybersecurity and Infrastructure Security Agency responsible for protecting federal networks and critical infrastructure from cyber threats.
-
D.
Surveillance Self-Defense
Surveillance Self-Defense is an online guide created by the Electronic Frontier Foundation that teaches individuals and organizations practical strategies and tools to protect their privacy and security in the digital world.
-
E.
Infrastructure Security Division
The Infrastructure Security Division is a component of the U.S. Cybersecurity and Infrastructure Security Agency responsible for protecting and enhancing the resilience of the nation’s critical physical infrastructure.
- F. None of above. chosen
Provenance (5 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_69aa6337d8408190bdba8b50652d50ae |
completed | March 6, 2026, 5:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad8ae6940c81909c1ebdfb0cdef5fc |
completed | March 8, 2026, 2:42 p.m. |
| NEDg | Description generation | batch_69ad957adf1c8190b7c8656c1984f998 |
completed | March 8, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad97af6b388190b2af293599108df3 |
completed | March 8, 2026, 3:37 p.m. |
Created at: March 4, 2026, 7:30 p.m.