Triple
T18051289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | contextlib |
E431930
|
entity |
| Predicate | maintainedBy |
P86
|
FINISHED |
| Object | Python core 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: Python core developers | Statement: [contextlib, maintainedBy, Python core developers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Python core developers Context triple: [contextlib, maintainedBy, Python core developers]
-
A.
Python core developers
chosen
Python core developers are the group of trusted contributors responsible for designing, implementing, and maintaining the official Python language and its reference implementation.
-
B.
RSpec core team
The RSpec core team is the group of maintainers responsible for developing and overseeing the core components of the RSpec testing framework for Ruby.
-
C.
Python Steering Council
The Python Steering Council is the core governance body responsible for guiding the development and direction of the Python programming language.
-
D.
Pandas Developers
Pandas Developers are the community of programmers and contributors who maintain and advance the pandas Python library for data analysis and manipulation.
-
E.
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.
- 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_69d8b906482481908183315b9ecf9994 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c0fe4f1881908fa8485cb3ccfa44 |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 10:25 a.m.