Triple

T2113739
Position Surface form Disambiguated ID Type / Status
Subject Simon Tatham E42559 entity
Predicate hasGivenTalksOn P3281 FINISHED
Object PuTTY E6781 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: PuTTY | Statement: [Simon Tatham, hasGivenTalksOn, PuTTY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: PuTTY
Context triple: [Simon Tatham, hasGivenTalksOn, PuTTY]
  • A. PuTTY chosen
    PuTTY is a widely used free and open-source terminal emulator and network client for Windows and other platforms, supporting protocols like SSH, Telnet, and serial connections.
  • B. SSH Tectia
    SSH Tectia is a commercial enterprise-grade secure shell solution providing encrypted remote access, file transfer, and tunneling for mission-critical systems.
  • C. 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.
  • D. SSH
    SSH (Secure Shell) is a cryptographic network protocol used to securely access, manage, and transfer data between remote computers over unsecured networks.
  • E. Cygwin
    Cygwin is a compatibility layer that provides a Unix-like environment and command-line tools for Microsoft Windows, enabling users to run and build POSIX-compliant software on the Windows platform.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb05b51c81908a78c816f492c45c completed March 7, 2026, 5:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6aec3694819090d0e7cf02944aa3 completed March 9, 2026, 6:38 a.m.
Created at: March 4, 2026, 7:43 p.m.