Triple

T12280762
Position Surface form Disambiguated ID Type / Status
Subject MLIR E292711 entity
Predicate fullName P16 FINISHED
Object Multi-Level Intermediate Representation
Multi-Level Intermediate Representation is a flexible compiler infrastructure within the LLVM project designed to support multiple abstraction levels and domain-specific optimizations in a unified IR framework.
E973140 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: Multi-Level Intermediate Representation | Statement: [MLIR, fullName, Multi-Level Intermediate Representation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Multi-Level Intermediate Representation
Context triple: [MLIR, fullName, Multi-Level Intermediate Representation]
  • A. SPIR intermediate representation
    SPIR intermediate representation is a standardized, portable intermediate language based on LLVM IR used to enable cross-platform compilation and execution of OpenCL kernels and other heterogeneous compute workloads.
  • B. SUIF compiler infrastructure
    SUIF compiler infrastructure is a widely used, extensible research framework for building and experimenting with advanced optimizing compilers and program analysis tools.
  • C. Partial Evaluation and Program Manipulation
    Partial Evaluation and Program Manipulation (PEPM) is a specialized conference and research area in computer science focused on techniques for program transformation, optimization, and analysis through partial evaluation and related methods.
  • D. LLVM
    LLVM is a modular, reusable compiler and toolchain infrastructure project widely used for building language frontends, optimizers, and backends for diverse hardware architectures.
  • E. Languages, Compilers, and Tools for Embedded Systems
    Languages, Compilers, and Tools for Embedded Systems (LCTES) is a research conference focused on programming languages, compilation techniques, and development tools for embedded and real-time computing systems.
  • 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: Multi-Level Intermediate Representation
Triple: [MLIR, fullName, Multi-Level Intermediate Representation]
Generated description
Multi-Level Intermediate Representation is a flexible compiler infrastructure within the LLVM project designed to support multiple abstraction levels and domain-specific optimizations in a unified IR framework.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Multi-Level Intermediate Representation
Target entity description: Multi-Level Intermediate Representation is a flexible compiler infrastructure within the LLVM project designed to support multiple abstraction levels and domain-specific optimizations in a unified IR framework.
  • A. SPIR intermediate representation
    SPIR intermediate representation is a standardized, portable intermediate language based on LLVM IR used to enable cross-platform compilation and execution of OpenCL kernels and other heterogeneous compute workloads.
  • B. SUIF compiler infrastructure
    SUIF compiler infrastructure is a widely used, extensible research framework for building and experimenting with advanced optimizing compilers and program analysis tools.
  • C. Partial Evaluation and Program Manipulation
    Partial Evaluation and Program Manipulation (PEPM) is a specialized conference and research area in computer science focused on techniques for program transformation, optimization, and analysis through partial evaluation and related methods.
  • D. LLVM
    LLVM is a modular, reusable compiler and toolchain infrastructure project widely used for building language frontends, optimizers, and backends for diverse hardware architectures.
  • E. Languages, Compilers, and Tools for Embedded Systems
    Languages, Compilers, and Tools for Embedded Systems (LCTES) is a research conference focused on programming languages, compilation techniques, and development tools for embedded and real-time computing systems.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cf2b09c81908a11581d33f65be0 completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e70dec8819098199fbb54d888c1 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f61f5bc1fc8190af9d74acc307ebe1 completed May 2, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_69f62041f2408190ad320fec5283abdd completed May 2, 2026, 4:03 p.m.
Created at: April 8, 2026, 9:52 p.m.