Triple

T1138807
Position Surface form Disambiguated ID Type / Status
Subject Pyramid E23401 entity
Predicate formerName P65 FINISHED
Object repoze.bfg
repoze.bfg is the former name of Pyramid, a lightweight Python web framework focused on flexibility and scalability.
E129537 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: repoze.bfg | Statement: [Pyramid, formerName, repoze.bfg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: repoze.bfg
Context triple: [Pyramid, formerName, repoze.bfg]
  • A. Flask
    Flask is a minor but tough and pugnacious third mate aboard the whaling ship Pequod in Herman Melville’s novel "Moby-Dick."
  • B. Flask
    Flask is a lightweight, flexible Python micro web framework designed for building web applications and APIs with minimal boilerplate.
  • C. ASGI
    ASGI (Asynchronous Server Gateway Interface) is a Python standard for asynchronous web servers and applications that enables high-performance, concurrent web frameworks and services.
  • D. Flask-RESTful
    Flask-RESTful is a popular Flask extension that simplifies building RESTful APIs by providing tools for request parsing, input validation, and structured resource routing.
  • E. Flask-WTF
    Flask-WTF is a Flask extension that integrates WTForms to simplify web form creation, validation, and CSRF protection in Flask applications.
  • 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: repoze.bfg
Triple: [Pyramid, formerName, repoze.bfg]
Generated description
repoze.bfg is the former name of Pyramid, a lightweight Python web framework focused on flexibility and scalability.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: repoze.bfg
Target entity description: repoze.bfg is the former name of Pyramid, a lightweight Python web framework focused on flexibility and scalability.
  • A. Flask
    Flask is a minor but tough and pugnacious third mate aboard the whaling ship Pequod in Herman Melville’s novel "Moby-Dick."
  • B. Flask
    Flask is a lightweight, flexible Python micro web framework designed for building web applications and APIs with minimal boilerplate.
  • C. ASGI
    ASGI (Asynchronous Server Gateway Interface) is a Python standard for asynchronous web servers and applications that enables high-performance, concurrent web frameworks and services.
  • D. Flask-RESTful
    Flask-RESTful is a popular Flask extension that simplifies building RESTful APIs by providing tools for request parsing, input validation, and structured resource routing.
  • E. Flask-WTF
    Flask-WTF is a Flask extension that integrates WTForms to simplify web form creation, validation, and CSRF protection in Flask applications.
  • 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_69a493ef399c8190b04b9146d2314f59 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc25dda481909a26d726fdbdbb50 completed March 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac59b020d48190bc6ecbdb720c6779 completed March 7, 2026, 5 p.m.
NEDg Description generation batch_69ac5a7599048190a46b0d560270ffa4 completed March 7, 2026, 5:03 p.m.
NED2 Entity disambiguation (via description) batch_69ac5af24a948190a37c832508149a48 completed March 7, 2026, 5:05 p.m.
Created at: March 1, 2026, 7:44 p.m.