Triple
T4442819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RSpec |
E96211
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | rspec-rails |
E96211
|
NE FINISHED |
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: rspec-rails | Statement: [RSpec, hasComponent, rspec-rails]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: rspec-rails Context triple: [RSpec, hasComponent, rspec-rails]
-
A.
RSpec
chosen
RSpec is a popular behavior-driven development (BDD) testing framework for the Ruby programming language, known for its readable, expressive syntax.
-
B.
Minitest
Minitest is a lightweight, built-in Ruby testing library that provides unit, spec, and mocking capabilities for Ruby applications.
-
C.
Supertest
Supertest is a Node.js library for testing HTTP servers by providing a high-level abstraction for making and asserting HTTP requests, commonly used in integration and end-to-end tests.
-
D.
ScalaTest
ScalaTest is a popular testing framework for the Scala programming language that supports expressive, flexible unit and integration testing.
-
E.
Factory Girl
Factory Girl is a 2006 biographical drama film about socialite and Warhol muse Edie Sedgwick, starring Sienna Miller in the lead role.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69b345415ba481908df738e7174448ba |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355aef21c819088f168a23f1933a6 |
completed | March 13, 2026, 12:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b61382d00481908b7c84f337b5cad7 |
completed | March 15, 2026, 2:03 a.m. |
Created at: March 12, 2026, 11:32 p.m.