Triple
T18051059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | dataclasses |
E431926
|
entity |
| Predicate | definedIn |
P775
|
FINISHED |
| Object |
PEP 557
PEP 557 is the Python Enhancement Proposal that introduced dataclasses, a standard way to create classes for storing data with less boilerplate code.
|
E1305679
|
NE FINISHED |
How this triple was built (4 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: PEP 557 | Statement: [dataclasses, definedIn, PEP 557]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PEP 557 Context triple: [dataclasses, definedIn, PEP 557]
-
A.
PEP 552
PEP 552 is a Python Enhancement Proposal that introduced deterministic, hash-based .pyc files to improve reproducibility and caching behavior in Python.
-
B.
PEP 560
PEP 560 is a Python Enhancement Proposal that optimizes and refines the implementation of typing and generic types in Python, improving performance and simplifying the internal mechanics of the typing module.
-
C.
PEP 578
PEP 578 is a Python enhancement proposal that introduces a security audit hook framework to help monitor and control runtime events in Python applications.
-
D.
PEP 657
PEP 657 is a Python enhancement proposal that improves error reporting by adding fine-grained location information (such as per-expression line and column data) to tracebacks.
-
E.
PEP 544
PEP 544 is a Python Enhancement Proposal that introduces structural subtyping via typing.Protocol, enabling static type checkers to support interface-like behavior based on object capabilities rather than inheritance.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PEP 557 Triple: [dataclasses, definedIn, PEP 557]
Generated description
PEP 557 is the Python Enhancement Proposal that introduced dataclasses, a standard way to create classes for storing data with less boilerplate code.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PEP 557 Target entity description: PEP 557 is the Python Enhancement Proposal that introduced dataclasses, a standard way to create classes for storing data with less boilerplate code.
-
A.
PEP 552
PEP 552 is a Python Enhancement Proposal that introduced deterministic, hash-based .pyc files to improve reproducibility and caching behavior in Python.
-
B.
PEP 560
PEP 560 is a Python Enhancement Proposal that optimizes and refines the implementation of typing and generic types in Python, improving performance and simplifying the internal mechanics of the typing module.
-
C.
PEP 578
PEP 578 is a Python enhancement proposal that introduces a security audit hook framework to help monitor and control runtime events in Python applications.
-
D.
PEP 657
PEP 657 is a Python enhancement proposal that improves error reporting by adding fine-grained location information (such as per-expression line and column data) to tracebacks.
-
E.
PEP 544
PEP 544 is a Python Enhancement Proposal that introduces structural subtyping via typing.Protocol, enabling static type checkers to support interface-like behavior based on object capabilities rather than inheritance.
- F. None of above. chosen
Provenance (5 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_69e4bff57ea08190a30a87993f7d3299 |
completed | April 19, 2026, 11:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a035d8448508190b664a48cbaf3d150 |
completed | May 12, 2026, 5:04 p.m. |
| NEDg | Description generation | batch_6a036ce6f2908190b8f846e23d5bf44b |
completed | May 12, 2026, 6:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a036d55af7081909540768983963e8a |
completed | May 12, 2026, 6:11 p.m. |
Created at: April 10, 2026, 10:25 a.m.