Triple
T2716447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LLVM |
E59978
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object |
MLIR
MLIR (Multi-Level Intermediate Representation) is a flexible compiler infrastructure and intermediate representation framework designed to support reusable, extensible optimizations and code generation across diverse domains and hardware targets.
|
E292711
|
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: MLIR | Statement: [LLVM, hasComponent, MLIR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MLIR Context triple: [LLVM, hasComponent, MLIR]
-
A.
LLVM
LLVM is a modular, reusable compiler and toolchain infrastructure project widely used for building language frontends, optimizers, and backends for diverse hardware architectures.
-
B.
Bytecode Alliance
Bytecode Alliance is a nonprofit industry consortium focused on advancing secure, modular, and portable software through technologies built around WebAssembly.
-
C.
PlaidML
PlaidML is an open-source, hardware-agnostic deep learning engine designed to accelerate neural network computation on a wide range of GPUs and other devices.
-
D.
Clang
Clang is a modern, open-source C, C++, and Objective-C compiler front end for the LLVM project, known for its fast compilation, expressive diagnostics, and modular design.
-
E.
LLDB
LLDB is a modern, high-performance debugger primarily used with the LLVM toolchain for languages like C, C++, and Objective-C.
- 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: MLIR Triple: [LLVM, hasComponent, MLIR]
Generated description
MLIR (Multi-Level Intermediate Representation) is a flexible compiler infrastructure and intermediate representation framework designed to support reusable, extensible optimizations and code generation across diverse domains and hardware targets.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MLIR Target entity description: MLIR (Multi-Level Intermediate Representation) is a flexible compiler infrastructure and intermediate representation framework designed to support reusable, extensible optimizations and code generation across diverse domains and hardware targets.
-
A.
LLVM
LLVM is a modular, reusable compiler and toolchain infrastructure project widely used for building language frontends, optimizers, and backends for diverse hardware architectures.
-
B.
Bytecode Alliance
Bytecode Alliance is a nonprofit industry consortium focused on advancing secure, modular, and portable software through technologies built around WebAssembly.
-
C.
PlaidML
PlaidML is an open-source, hardware-agnostic deep learning engine designed to accelerate neural network computation on a wide range of GPUs and other devices.
-
D.
Clang
Clang is a modern, open-source C, C++, and Objective-C compiler front end for the LLVM project, known for its fast compilation, expressive diagnostics, and modular design.
-
E.
LLDB
LLDB is a modern, high-performance debugger primarily used with the LLVM toolchain for languages like C, C++, and Objective-C.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda964d4881908179b2a1b16411e4 |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb68c3ccc81909995d17651af27ed |
completed | March 10, 2026, 6:13 a.m. |
| NEDg | Description generation | batch_69afb77f60c08190928bd6a79fc82e8b |
completed | March 10, 2026, 6:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb8205840819084ede24192bb0aa3 |
completed | March 10, 2026, 6:20 a.m. |
Created at: March 6, 2026, 9:55 p.m.