Triple
T6033921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ROOT |
E134370
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | ROOT graphics |
E134370
|
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: ROOT graphics | Statement: [ROOT, hasComponent, ROOT graphics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ROOT graphics Context triple: [ROOT, hasComponent, ROOT graphics]
-
A.
ROOT
chosen
ROOT is a widely used object-oriented data analysis framework and file format developed at CERN for storing, processing, and visualizing large volumes of high-energy physics data.
-
B.
TCanvas
TCanvas is a core VCL graphics class in Delphi used for drawing text, shapes, and images onto windows, controls, printers, and bitmaps.
-
C.
Web Graphics Library
Web Graphics Library is a JavaScript API that enables rendering interactive 2D and 3D graphics within web browsers using the GPU without the need for plug-ins.
-
D.
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.
-
E.
ObjectStudio
ObjectStudio is a commercial Smalltalk development environment and IDE, historically known for its strong Windows integration and enterprise application support.
- 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_69c0087515148190a97475d412563865 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056b220608190b156be95632cf3b3 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11388aec881908408d5844c96ea2d |
completed | March 23, 2026, 10:18 a.m. |
Created at: March 22, 2026, 4:08 p.m.