Triple
T4600012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qt5Agg |
E100299
|
entity |
| Predicate | successorOf |
P78
|
FINISHED |
| Object | Qt4Agg |
E100299
|
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: Qt4Agg | Statement: [Qt5Agg, successorOf, Qt4Agg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qt4Agg Context triple: [Qt5Agg, successorOf, Qt4Agg]
-
A.
Qt5Agg
chosen
Qt5Agg is a Matplotlib rendering backend that combines the Qt5 GUI framework with the Anti-Grain Geometry (Agg) engine to display high-quality interactive plots.
-
B.
TkAgg
TkAgg is a Matplotlib backend that renders plots using the Agg engine and displays them in GUI windows via the Tkinter toolkit.
-
C.
Matplotlib
Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
-
D.
Tkinter
Tkinter is Python’s standard GUI toolkit, providing a simple interface to the Tk GUI library for building desktop applications.
-
E.
GTK (for graphical interface)
GTK is a widely used open-source toolkit for creating graphical user interfaces, particularly on Linux and other Unix-like operating 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_69bd43cbc014819098b45f435908f88a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5971f448819090f6e76c7d3ffc2d |
completed | March 20, 2026, 2:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfa5a7aac8190b540b80816d55051 |
completed | March 21, 2026, 1:54 a.m. |
Created at: March 20, 2026, 1:11 p.m.