Triple

T8248797
Position Surface form Disambiguated ID Type / Status
Subject Netcat E192905 entity
Predicate inspired P9 FINISHED
Object Ncat E192905 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: Ncat | Statement: [Netcat, inspired, Ncat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ncat
Context triple: [Netcat, inspired, Ncat]
  • A. Netcat chosen
    Netcat is a versatile command-line networking utility used for reading from and writing to network connections, often referred to as the "Swiss Army knife" of TCP/IP.
  • B. Nmap
    Nmap is a widely used open-source network scanning and security auditing tool that discovers hosts and services on computer networks.
  • C. Ettercap
    Ettercap is a network security tool used for sniffing, intercepting, and manipulating traffic on local area networks, commonly employed for man-in-the-middle attacks and protocol analysis.
  • D. Nping
    Nping is a network packet generation and response analysis tool that comes bundled with the Nmap security scanner suite.
  • E. Telnet
    Telnet is a network protocol and command-line tool that allows users to remotely access and manage devices over a text-based terminal connection.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78c6b3c48190a3ecebf449766124 completed March 31, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd680b0f608190b69336228346b47d completed April 1, 2026, 6:46 p.m.
Created at: March 30, 2026, 5:48 p.m.