Triple
T18529779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laravel Spark |
E452803
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Laravel Cashier |
—
|
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 Cashier | Statement: [Laravel Spark, integratesWith, Laravel Cashier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laravel Cashier Context triple: [Laravel Spark, integratesWith, Laravel Cashier]
-
A.
Laravel Cashier
chosen
Laravel Cashier is an official Laravel package that provides an expressive, subscription billing interface for services like Stripe and Paddle, handling tasks such as subscriptions, coupons, invoices, and payment methods.
-
B.
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.
-
C.
Stripe
Stripe is the vicious, white-mohawked leader of the evil gremlins in the 1984 horror-comedy film "Gremlins."
-
D.
Stripe
Stripe is a leading financial technology company that provides online payment processing and related services for internet businesses worldwide.
-
E.
Paystack
Paystack is a Nigerian financial technology company that provides online payment processing solutions for businesses across Africa.
- 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.