Triple
T4424967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haskell |
E95186
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object |
PureScript
PureScript is a strongly-typed, purely functional programming language that compiles to JavaScript and is heavily inspired by Haskell.
|
E437222
|
NE FINISHED |
How this triple was built (4 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: PureScript | Statement: [Haskell, influenced, PureScript]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PureScript Context triple: [Haskell, influenced, PureScript]
-
A.
Racket
Racket is a modern, multi-paradigm programming language in the Lisp/Scheme family, designed for language-oriented programming, scripting, and education.
-
B.
Chez Scheme
Chez Scheme is a high-performance, optimizing implementation of the Scheme programming language widely used for both research and production systems.
-
C.
Elixir
Elixir is a functional, concurrent programming language built on the Erlang VM, known for its scalability, fault tolerance, and expressive syntax.
-
D.
CoffeeScript
CoffeeScript is a programming language that compiles to JavaScript, offering a more concise, Python- and Ruby-like syntax for writing web application code.
-
E.
Clojure
Clojure is a modern, functional, and dynamic dialect of Lisp that runs on the Java Virtual Machine and emphasizes immutability and concurrent programming.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: PureScript Triple: [Haskell, influenced, PureScript]
Generated description
PureScript is a strongly-typed, purely functional programming language that compiles to JavaScript and is heavily inspired by Haskell.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PureScript Target entity description: PureScript is a strongly-typed, purely functional programming language that compiles to JavaScript and is heavily inspired by Haskell.
-
A.
Racket
Racket is a modern, multi-paradigm programming language in the Lisp/Scheme family, designed for language-oriented programming, scripting, and education.
-
B.
Chez Scheme
Chez Scheme is a high-performance, optimizing implementation of the Scheme programming language widely used for both research and production systems.
-
C.
Elixir
Elixir is a functional, concurrent programming language built on the Erlang VM, known for its scalability, fault tolerance, and expressive syntax.
-
D.
CoffeeScript
CoffeeScript is a programming language that compiles to JavaScript, offering a more concise, Python- and Ruby-like syntax for writing web application code.
-
E.
Clojure
Clojure is a modern, functional, and dynamic dialect of Lisp that runs on the Java Virtual Machine and emphasizes immutability and concurrent programming.
- F. None of above. chosen
Provenance (5 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554ca5208190ba2661616dcf071c |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f62f7eb88190a02669845126e790 |
completed | March 14, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69b5f6c8a58481908d7bd3d4cfaf265c |
completed | March 15, 2026, 12:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5f73f38d481908ad44dfd33de85ca |
completed | March 15, 2026, 12:03 a.m. |
Created at: March 12, 2026, 11:30 p.m.