Triple

T10826035
Position Surface form Disambiguated ID Type / Status
Subject PEP 13: Python Language Governance E255499 entity
Predicate author P4 FINISHED
Object Nick Coghlan
Nick Coghlan is a prominent Python core developer and software engineer known for his influential work on Python’s governance, documentation, and language design.
E888281 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: Nick Coghlan | Statement: [PEP 13: Python Language Governance, author, Nick Coghlan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nick Coghlan
Context triple: [PEP 13: Python Language Governance, author, Nick Coghlan]
  • A. Ben Finney
    Ben Finney was an anthropologist and pioneer of experimental archaeology best known for reviving traditional Polynesian navigation and co-founding the Polynesian Voyaging Society.
  • B. Robert Kern
    Robert Kern was an American film editor active during Hollywood’s classic studio era, known for his work on numerous prominent MGM productions.
  • C. Chris Angelico
    Chris Angelico is a Python developer and community contributor known for his involvement in Python Enhancement Proposals, including co-authoring PEP 572.
  • D. David Flanagan
    David Flanagan is a software developer and technical author best known for his widely used programming books, including "JavaScript: The Definitive Guide."
  • E. Steven Bethard
    Steven Bethard is a computer scientist and natural language processing researcher known for his work on temporal information extraction, semantic role labeling, and clinical NLP.
  • 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: Nick Coghlan
Triple: [PEP 13: Python Language Governance, author, Nick Coghlan]
Generated description
Nick Coghlan is a prominent Python core developer and software engineer known for his influential work on Python’s governance, documentation, and language design.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nick Coghlan
Target entity description: Nick Coghlan is a prominent Python core developer and software engineer known for his influential work on Python’s governance, documentation, and language design.
  • A. Ben Finney
    Ben Finney was an anthropologist and pioneer of experimental archaeology best known for reviving traditional Polynesian navigation and co-founding the Polynesian Voyaging Society.
  • B. Robert Kern
    Robert Kern was an American film editor active during Hollywood’s classic studio era, known for his work on numerous prominent MGM productions.
  • C. Chris Angelico
    Chris Angelico is a Python developer and community contributor known for his involvement in Python Enhancement Proposals, including co-authoring PEP 572.
  • D. David Flanagan
    David Flanagan is a software developer and technical author best known for his widely used programming books, including "JavaScript: The Definitive Guide."
  • E. Steven Bethard
    Steven Bethard is a computer scientist and natural language processing researcher known for his work on temporal information extraction, semantic role labeling, and clinical NLP.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d734d1c24881909f56d56207cccbef completed April 9, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69de858672d8819094baf4fe98b8dea4 completed April 14, 2026, 6:20 p.m.
NEDg Description generation batch_69de8e70da448190b80068fea047a88c completed April 14, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69de94dd45548190a88b5ab991756d12 completed April 14, 2026, 7:26 p.m.
Created at: April 8, 2026, 9:19 p.m.