Triple
T18529864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fabien Potencier |
E452805
|
entity |
| Predicate | creatorOf |
P806
|
FINISHED |
| Object | Twig |
—
|
NE NERFINISHED |
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: Twig | Statement: [Fabien Potencier, creatorOf, Twig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Twig Context triple: [Fabien Potencier, creatorOf, Twig]
-
A.
Twig
chosen
Twig is a modern, secure, and flexible templating engine for PHP, widely used to separate presentation from application logic in frameworks like Symfony.
-
B.
Jinja2
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.
-
C.
TPL
TPL is the standard abbreviation for The Plant List, a comprehensive online database of scientific plant names.
-
D.
Nunjucks
Nunjucks is a powerful JavaScript templating engine, inspired by Jinja2, commonly used to generate dynamic HTML in web applications and design systems.
-
E.
TwigBridge
TwigBridge is a Symfony component that integrates the Twig templating engine with the Symfony framework, providing tools and extensions to render templates within Symfony applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533fb940c81909d4ad9fc37f47829 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.