Triple

T4325259
Position Surface form Disambiguated ID Type / Status
Subject Armin Ronacher E96620 entity
Predicate created P538 FINISHED
Object itsdangerous E431937 NE FINISHED

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: itsdangerous | Statement: [Armin Ronacher, created, itsdangerous]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: itsdangerous
Context triple: [Armin Ronacher, created, itsdangerous]
  • A. itsdangerous chosen
    itsdangerous is a Python library for securely signing and serializing data, commonly used in web applications to protect cookies and other trusted data.
  • B. MarkupSafe
    MarkupSafe is a Python library that provides a string type with automatic HTML escaping, commonly used in web templating to prevent injection vulnerabilities.
  • C. JWT
    JWT is a historic global advertising agency, originally known as J. Walter Thompson, recognized as one of the pioneers of modern marketing and brand communications.
  • D. Flask-Security
    Flask-Security is a Flask extension that provides a unified, high-level interface for handling authentication, authorization, user registration, and role management in web applications.
  • E. Werkzeug
    Werkzeug is a widely used Python WSGI utility library that provides the low-level building blocks for web application frameworks such as Flask.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69b34542fd908190b11b08faad8decfd completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3512ec18481908a7b5c29b3902b53 completed March 12, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db98ae888190aac5b5b7839ae7dd completed March 14, 2026, 10:05 p.m.
Created at: March 12, 2026, 11:13 p.m.