Triple
T18015850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NumPy Developers |
E430996
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object | Matplotlib Developers |
—
|
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: Matplotlib Developers | Statement: [NumPy Developers, collaboratesWith, Matplotlib Developers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matplotlib Developers Context triple: [NumPy Developers, collaboratesWith, Matplotlib Developers]
-
A.
NumPy Developers
NumPy Developers are the community of programmers and contributors who maintain and advance NumPy, the core Python library for numerical computing and array-based scientific analysis.
-
B.
SciPy Developers
SciPy Developers are the community of programmers and contributors responsible for maintaining and advancing the SciPy scientific computing library for Python.
-
C.
Pandas Developers
Pandas Developers are the community of programmers and contributors who maintain and advance the pandas Python library for data analysis and manipulation.
-
D.
Matplotlib
chosen
Matplotlib is a widely used Python plotting library for creating static, animated, and interactive visualizations.
-
E.
Python core developers
Python core developers are the group of trusted contributors responsible for designing, implementing, and maintaining the official Python language and its reference implementation.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b523f588819097389e067dda7f23 |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.