Triple

T8249224
Position Surface form Disambiguated ID Type / Status
Subject dirb E192914 entity
Predicate similarTo P4460 FINISHED
Object DirBuster
DirBuster is a web application penetration testing tool used to brute-force and discover hidden directories and files on web servers.
E721452 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: [dirb, similarTo, DirBuster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DirBuster
Context triple: [dirb, similarTo, 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. OWASP ZAP
    OWASP ZAP (Zed Attack Proxy) is an open-source web application security testing tool used to find vulnerabilities in web applications.
  • C. Burp Suite
    Burp Suite is a popular integrated platform for web application security testing, widely used by penetration testers to identify and exploit vulnerabilities.
  • D. John the Ripper
    John the Ripper is a widely used open-source password cracking tool designed for security auditing and penetration testing.
  • E. sqlmap
    sqlmap is an open-source penetration testing tool that automates the detection and exploitation of SQL injection vulnerabilities in web applications.
  • 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: [dirb, similarTo, DirBuster]
Generated description
DirBuster is a web application penetration testing tool used to brute-force and discover hidden directories and files 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 penetration testing tool used to brute-force and discover hidden directories and files on web servers.
  • 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. OWASP ZAP
    OWASP ZAP (Zed Attack Proxy) is an open-source web application security testing tool used to find vulnerabilities in web applications.
  • C. Burp Suite
    Burp Suite is a popular integrated platform for web application security testing, widely used by penetration testers to identify and exploit vulnerabilities.
  • D. John the Ripper
    John the Ripper is a widely used open-source password cracking tool designed for security auditing and penetration testing.
  • E. sqlmap
    sqlmap is an open-source penetration testing tool that automates the detection and exploitation of SQL injection vulnerabilities in web applications.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78c817708190ad1c364e12083d26 completed March 31, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd353888208190941d1c0b7b911cdd completed April 1, 2026, 3:09 p.m.
NEDg Description generation batch_69cd37a71af481909e82aa29ae558c4a completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4ef034ec8190a4229b21e6088c79 completed April 1, 2026, 4:59 p.m.
Created at: March 30, 2026, 5:48 p.m.