Triple
T17675666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanami::View |
E440636
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Hanami::View::Rendering |
—
|
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: Hanami::View::Rendering | Statement: [Hanami::View, hasComponent, Hanami::View::Rendering]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hanami::View::Rendering Context triple: [Hanami::View, hasComponent, Hanami::View::Rendering]
-
A.
Hanami::View
chosen
Hanami::View is the presentation layer component of the Hanami Ruby web framework, responsible for rendering templates and encapsulating view logic.
-
B.
Hanami::Router
Hanami::Router is the routing component of the Hanami Ruby web framework, responsible for mapping HTTP requests to application actions in a lightweight and modular way.
-
C.
Render
Render is a cloud platform-as-a-service (PaaS) that simplifies deploying and hosting web applications, APIs, and databases with automated builds, scaling, and SSL.
-
D.
Haml
Haml is a whitespace-sensitive templating language for Ruby that provides a clean, indentation-based syntax for generating HTML.
-
E.
Render Everything You Ever Saw
Render Everything You Ever Saw (REYES) is a high-quality, micropolygon-based rendering architecture developed at Pixar for efficiently producing photorealistic images in film and animation.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46f6cca54819094ea0bed1517724e |
completed | April 19, 2026, 6 a.m. |
Created at: April 10, 2026, 10 a.m.