Triple
T18528943
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor Otwell |
E452786
|
entity |
| Predicate | created |
P538
|
FINISHED |
| Object | Laravel framework |
—
|
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: Laravel framework | Statement: [Taylor Otwell, created, Laravel framework]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laravel framework Context triple: [Taylor Otwell, created, Laravel framework]
-
A.
Laravel
chosen
Laravel is a popular open-source PHP web application framework known for its elegant syntax, robust tooling, and support for rapid application development.
-
B.
Laravel developers
Laravel developers are software engineers who specialize in building web applications using the Laravel PHP framework and its ecosystem of tools and packages.
-
C.
Laravel Spark
Laravel Spark is a commercial Laravel package that provides a ready-made SaaS application scaffolding with subscription billing, team management, and authentication features.
-
D.
Slim Framework
Slim Framework is a lightweight PHP micro-framework designed for building simple yet powerful web applications and APIs with minimal overhead.
-
E.
Plasma Framework
Plasma Framework is a core KDE library that provides the infrastructure and tools for building Plasma-based graphical user interfaces, widgets, and desktop environments.
- 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_69e533fad2d081908395914d6a6b4eb1 |
completed | April 19, 2026, 7:58 p.m. |
Created at: April 10, 2026, 11:37 a.m.