Triple
T18015904
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pandas Developers |
E430997
|
entity |
| Predicate | collaboratesWith |
P37
|
FINISHED |
| Object | SciPy 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: SciPy Developers | Statement: [Pandas Developers, collaboratesWith, SciPy Developers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SciPy Developers Context triple: [Pandas Developers, collaboratesWith, SciPy Developers]
-
A.
SciPy Developers
chosen
SciPy Developers are the community of programmers and contributors responsible for maintaining and advancing the SciPy scientific computing library for Python.
-
B.
SciPy Steering Council
The SciPy Steering Council is the leadership group responsible for guiding the development, governance, and strategic direction of the SciPy scientific computing ecosystem in Python.
-
C.
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.
-
D.
SciPy
SciPy is an open-source Python library that provides advanced scientific and technical computing tools, including modules for optimization, integration, statistics, signal processing, and linear algebra.
-
E.
Travis Oliphant
Travis Oliphant is an American data scientist and software developer best known as a primary creator of NumPy and SciPy and a key leader in the Python scientific computing ecosystem.
- 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.