Triple

T2795587
Position Surface form Disambiguated ID Type / Status
Subject Wietse Venema E53027 entity
Predicate notableWork P4 FINISHED
Object TCP Wrapper E298651 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: TCP Wrapper | Statement: [Wietse Venema, notableWork, TCP Wrapper]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: TCP Wrapper
Context triple: [Wietse Venema, notableWork, TCP Wrapper]
  • A. TCP Wrapper chosen
    TCP Wrapper is a host-based network access control system for Unix-like operating systems that filters incoming requests to network services based on configurable rules.
  • B. Netcat
    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.
  • C. TCP/IP
    TCP/IP is the fundamental communication protocol suite that enables data transmission and networking across the internet and most modern computer networks.
  • D. netfilter
    netfilter is a framework within the Linux kernel that provides packet filtering, network address translation (NAT), and other networking-related operations for implementing firewalls and traffic control.
  • E. 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.
  • 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abddef754081908e6218dc2208e0fd completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8a5c364819092b01e90ee40e155 completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 9:58 p.m.