Triple
T22446578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ocamlc |
E554876
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
ocamlrun
ocamlrun is the OCaml bytecode interpreter that executes programs compiled to bytecode by the OCaml compiler.
|
E1536609
|
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: ocamlrun | Statement: [ocamlc, relatedTo, ocamlrun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ocamlrun Context triple: [ocamlc, relatedTo, ocamlrun]
-
A.
ocamlc
ocamlc is the bytecode compiler for the OCaml programming language, translating OCaml source code into portable bytecode executables.
-
B.
ocamlopt
ocamlopt is the native-code optimizing compiler for the OCaml programming language, producing efficient machine code executables.
-
C.
OCaml
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.
-
D.
js_of_ocaml
js_of_ocaml is a compiler and toolchain that translates OCaml bytecode into JavaScript, enabling OCaml programs to run in web browsers and other JavaScript environments.
-
E.
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.
- 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: ocamlrun Triple: [ocamlc, relatedTo, ocamlrun]
Generated description
ocamlrun is the OCaml bytecode interpreter that executes programs compiled to bytecode by the OCaml compiler.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ocamlrun Target entity description: ocamlrun is the OCaml bytecode interpreter that executes programs compiled to bytecode by the OCaml compiler.
-
A.
ocamlc
ocamlc is the bytecode compiler for the OCaml programming language, translating OCaml source code into portable bytecode executables.
-
B.
ocamlopt
ocamlopt is the native-code optimizing compiler for the OCaml programming language, producing efficient machine code executables.
-
C.
OCaml
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.
-
D.
js_of_ocaml
js_of_ocaml is a compiler and toolchain that translates OCaml bytecode into JavaScript, enabling OCaml programs to run in web browsers and other JavaScript environments.
-
E.
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.
- 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4803908190990280ebd258cb03 |
completed | April 29, 2026, 1:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b0c7640fc8190a2dd1643a7c2a5b0 |
completed | May 18, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0b0cd3f7bc8190bdc1e241ea1c642f |
completed | May 18, 2026, 12:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b0d40e0c8819083a430e30dba1848 |
completed | May 18, 2026, 12:59 p.m. |
Created at: April 16, 2026, 8:47 p.m.