Triple

T4325271
Position Surface form Disambiguated ID Type / Status
Subject Armin Ronacher E96620 entity
Predicate notableWork P4 FINISHED
Object Jinja template engine E96622 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: Jinja template engine | Statement: [Armin Ronacher, notableWork, Jinja template engine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jinja template engine
Context triple: [Armin Ronacher, notableWork, Jinja template engine]
  • A. Jinja2 chosen
    Jinja2 is a popular Python templating engine used to generate dynamic HTML and other text-based formats, known for its Django-inspired syntax and integration with web frameworks like Flask.
  • B. EJS
    EJS (Embedded JavaScript) is a simple templating language that lets you generate HTML markup with plain JavaScript code.
  • C. Handlebars
    Handlebars is a popular logic-less templating engine for JavaScript that enables clean, readable templates with embedded expressions for dynamic HTML generation.
  • D. FreeMarker templates
    FreeMarker templates are text-based templates used with the FreeMarker engine to generate dynamic content such as HTML, configuration files, or source code by combining static text with data-driven placeholders and logic.
  • E. Velocity templates
    Velocity templates are text-based templates used with the Apache Velocity engine to generate dynamic content, typically for web pages, emails, or code.
  • 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_69b5d094f5fc819083eddc234f46f6a1 completed March 14, 2026, 9:18 p.m.
Created at: March 12, 2026, 11:13 p.m.