Triple
T18528932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor Otwell |
E452786
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Laravel Spark |
—
|
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 Spark | Statement: [Taylor Otwell, notableWork, Laravel Spark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laravel Spark Context triple: [Taylor Otwell, notableWork, Laravel Spark]
-
A.
Laravel Spark
chosen
Laravel Spark is a commercial Laravel package that provides a ready-made SaaS application scaffolding with subscription billing, team management, and authentication features.
-
B.
Laravel Jetstream
Laravel Jetstream is an application scaffolding package for the Laravel framework that provides a modern, pre-built authentication and starter interface using technologies like Livewire or Inertia.js.
-
C.
Laravel Nova
Laravel Nova is a premium, customizable administration panel and dashboard tool designed specifically for managing Laravel-based applications.
-
D.
Laravel
Laravel is a popular open-source PHP web application framework known for its elegant syntax, robust tooling, and support for rapid application development.
-
E.
Laravel Vapor
Laravel Vapor is a serverless deployment platform for Laravel applications, designed to run seamlessly on AWS infrastructure with automatic scaling and simplified management.
- 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.