Triple

T17557264
Position Surface form Disambiguated ID Type / Status
Subject PEP 420 E427619 entity
Predicate relatedTo P37 FINISHED
Object PEP 395
PEP 395 is a Python Enhancement Proposal that defines guidelines and mechanisms for handling the `__name__` and `__main__` attributes to improve module naming, execution, and packaging consistency.
 E1280975 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 395 | Statement: [PEP 420, relatedTo, PEP 395]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: PEP 395
Context triple: [PEP 420, relatedTo, PEP 395]
  • A. PEP 345
    PEP 345 is a Python Enhancement Proposal that defines the metadata format for Python software packages, including standardized fields used in package distribution.
  • B. PEP 328
    PEP 328 is a Python Enhancement Proposal that introduced and standardized the syntax and semantics for absolute and relative imports in Python.
  • C. PEP 425
    PEP 425 is a Python Enhancement Proposal that defines the standardized “compatibility tag” scheme used to identify which Python interpreter and platform a binary distribution (like a wheel) is compatible with.
  • D. PEP 302
    PEP 302 is a Python Enhancement Proposal that defines the import hook mechanism, enabling customization and extension of Python’s module import system.
  • E. PEP 382
    PEP 382 is a Python Enhancement Proposal that originally specified a mechanism for namespace packages using explicit “.pkg” files, an approach later superseded by the implicit namespace package model of PEP 420.
  • 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 395
Triple: [PEP 420, relatedTo, PEP 395]
Generated description
PEP 395 is a Python Enhancement Proposal that defines guidelines and mechanisms for handling the `__name__` and `__main__` attributes to improve module naming, execution, and packaging consistency.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: PEP 395
Target entity description: PEP 395 is a Python Enhancement Proposal that defines guidelines and mechanisms for handling the `__name__` and `__main__` attributes to improve module naming, execution, and packaging consistency.
  • A. PEP 345
    PEP 345 is a Python Enhancement Proposal that defines the metadata format for Python software packages, including standardized fields used in package distribution.
  • B. PEP 328
    PEP 328 is a Python Enhancement Proposal that introduced and standardized the syntax and semantics for absolute and relative imports in Python.
  • C. PEP 425
    PEP 425 is a Python Enhancement Proposal that defines the standardized “compatibility tag” scheme used to identify which Python interpreter and platform a binary distribution (like a wheel) is compatible with.
  • D. PEP 302
    PEP 302 is a Python Enhancement Proposal that defines the import hook mechanism, enabling customization and extension of Python’s module import system.
  • E. PEP 382
    PEP 382 is a Python Enhancement Proposal that originally specified a mechanism for namespace packages using explicit “.pkg” files, an approach later superseded by the implicit namespace package model of PEP 420.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4562413d08190acaa5272046d3626 completed April 19, 2026, 4:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0216429964819081cc28582a87832d completed May 11, 2026, 5:47 p.m.
NEDg Description generation batch_6a0217eee47881909a61527d4ce7bd54 completed May 11, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0218636e048190a48bc7f066c7bee1 completed May 11, 2026, 5:56 p.m.
Created at: April 10, 2026, 5:50 a.m.