Triple

T1717803
Position Surface form Disambiguated ID Type / Status
Subject Kali Linux E37327 entity
Predicate includesTool P1393 FINISHED
Object dirbuster
DirBuster is a web application directory and file brute-forcing tool used in penetration testing to discover hidden paths on web servers.
 E192914 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: dirbuster | Statement: [Kali Linux, includesTool, dirbuster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: dirbuster
Context triple: [Kali Linux, includesTool, dirbuster]
  • A. dirb
    dirb is a web content scanner used in penetration testing to brute-force and discover hidden files and directories on web servers.
  • B. John the Ripper
    John the Ripper is a widely used open-source password cracking tool designed for security auditing and penetration testing.
  • C. sqlmap
    sqlmap is an open-source penetration testing tool that automates the detection and exploitation of SQL injection vulnerabilities in web applications.
  • D. Maltego
    Maltego is a graphical link analysis and data mining tool widely used in digital forensics and open-source intelligence (OSINT) investigations.
  • E. Burp Suite
    Burp Suite is a popular integrated platform for web application security testing, widely used by penetration testers to identify and exploit vulnerabilities.
  • 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: dirbuster
Triple: [Kali Linux, includesTool, dirbuster]
Generated description
DirBuster is a web application directory and file brute-forcing tool used in penetration testing to discover hidden paths on web servers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: dirbuster
Target entity description: DirBuster is a web application directory and file brute-forcing tool used in penetration testing to discover hidden paths on web servers.
  • A. dirb chosen
    dirb is a web content scanner used in penetration testing to brute-force and discover hidden files and directories on web servers.
  • B. John the Ripper
    John the Ripper is a widely used open-source password cracking tool designed for security auditing and penetration testing.
  • C. sqlmap
    sqlmap is an open-source penetration testing tool that automates the detection and exploitation of SQL injection vulnerabilities in web applications.
  • D. Maltego
    Maltego is a graphical link analysis and data mining tool widely used in digital forensics and open-source intelligence (OSINT) investigations.
  • E. Burp Suite
    Burp Suite is a popular integrated platform for web application security testing, widely used by penetration testers to identify and exploit vulnerabilities.
  • F. None of above.

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_69ada0d3a1508190bf05aa45e9966c49 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada1a2122481909c7a3470e090af17 completed March 8, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69ada23515d08190833ad1a35bb7a265 completed March 8, 2026, 4:22 p.m.
Created at: March 4, 2026, 7:30 p.m.