Triple
T18528946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taylor Otwell |
E452786
|
entity |
| Predicate | created |
P538
|
FINISHED |
| Object | Laravel Vapor |
—
|
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 Vapor | Statement: [Taylor Otwell, created, Laravel Vapor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laravel Vapor Context triple: [Taylor Otwell, created, Laravel Vapor]
-
A.
Laravel Vapor
chosen
Laravel Vapor is a serverless deployment platform for Laravel applications, designed to run seamlessly on AWS infrastructure with automatic scaling and simplified management.
-
B.
Laravel Valet
Laravel Valet is a lightweight development environment for macOS that provides fast, minimal, and automatic configuration for serving PHP and Laravel applications locally.
-
C.
Laravel Sail
Laravel Sail is a lightweight command-line interface for managing a local Laravel development environment using Docker.
-
D.
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.
-
E.
Laravel Envoyer
Laravel Envoyer is a zero-downtime deployment service designed for PHP and Laravel applications, providing seamless, automated releases to production servers.
- 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.