Triple
T7268796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jordan Walke |
E161046
|
entity |
| Predicate | usedProgrammingLanguage |
P1592
|
FINISHED |
| Object | OCaml |
E131758
|
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: OCaml | Statement: [Jordan Walke, usedProgrammingLanguage, OCaml]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: OCaml Context triple: [Jordan Walke, usedProgrammingLanguage, OCaml]
-
A.
OCaml
chosen
OCaml is a statically typed functional programming language from the ML family, known for its powerful type system, pattern matching, and efficient native code compilation.
-
B.
ReasonML
ReasonML is a syntax and toolchain for the OCaml language that offers a JavaScript-friendly, type-safe alternative for building web and native applications.
-
C.
ocamlc
ocamlc is the bytecode compiler for the OCaml programming language, translating OCaml source code into portable bytecode executables.
-
D.
ocamlopt
ocamlopt is the native-code optimizing compiler for the OCaml programming language, producing efficient machine code executables.
-
E.
Standard ML
Standard ML is a statically typed functional programming language with type inference and a formal semantics, widely used in programming language research and teaching.
- 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_69c6885181008190b419040e22939c7c |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eae8cc288190bc3ae3c7b38980d0 |
completed | March 27, 2026, 8:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db1e4f9c8190a23ce5a35073b7c7 |
completed | March 28, 2026, 1:43 p.m. |
Created at: March 27, 2026, 2:58 p.m.