Triple
T17598554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tkinter |
E428634
|
entity |
| Predicate | hasModule |
P12988
|
FINISHED |
| Object | tkinter |
—
|
NE NERFINISHED |
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: tkinter | Statement: [Tkinter, hasModule, tkinter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: tkinter Context triple: [Tkinter, hasModule, tkinter]
-
A.
Tkinter
chosen
Tkinter is Python’s standard GUI toolkit, providing a simple interface to the Tk GUI library for building desktop applications.
-
B.
Tk
Tk is a cross-platform graphical user interface (GUI) toolkit commonly used with the Tcl scripting language to build windowed applications.
-
C.
TkAgg
TkAgg is a Matplotlib backend that renders plots using the Agg engine and displays them in GUI windows via the Tkinter toolkit.
-
D.
GTK
GTK is a widely used open-source toolkit for creating graphical user interfaces, best known for powering applications in the GNOME desktop environment.
-
E.
Tcl
Tcl (Tool Command Language) is a high-level, embeddable scripting language widely used for rapid prototyping, GUI development (often with Tk), and extending applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889e1030481909950e140c63255b9 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c474e5481909d2736241b592dab |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.