Triple

T12516809
Position Surface form Disambiguated ID Type / Status
Subject Oliver Laumann E299209 entity
Predicate developed P73 FINISHED
Object GNU Screen E61968 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: GNU Screen | Statement: [Oliver Laumann, developed, GNU Screen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GNU Screen
Context triple: [Oliver Laumann, developed, GNU Screen]
  • A. GNU Screen chosen
    GNU Screen is a terminal multiplexer that allows users to manage multiple shell sessions within a single terminal window, detach and reattach sessions, and persist processes across logins.
  • B. GNOME Terminal
    GNOME Terminal is the default terminal emulator for the GNOME desktop environment, providing a command-line interface with support for multiple profiles, tabs, and modern terminal features.
  • C. MATE Terminal
    MATE Terminal is the default terminal emulator for the MATE desktop environment, providing a lightweight, GNOME 2–style command-line interface.
  • D. Screenslaver
    Screenslaver is a mind-controlling supervillain who uses hypnotic screens to manipulate people in the animated film *Incredibles 2*.
  • E. LXTerminal
    LXTerminal is a lightweight, fast, and minimal terminal emulator designed for the LXDE desktop environment, optimized for low-resource systems.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541f80148190976d1d912fe155d0 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655745cec8190b5582eb4a339d501 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.