Triple

T2257099
Position Surface form Disambiguated ID Type / Status
Subject Darwin E49751 entity
Predicate includesComponent P1393 FINISHED
Object dyld
dyld is the dynamic linker for macOS and other Darwin-based systems, responsible for loading and linking shared libraries at program startup and runtime.
 E246563 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: dyld | Statement: [Darwin, includesComponent, dyld]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: dyld
Context triple: [Darwin, includesComponent, dyld]
  • A. XNU
    XNU is the hybrid operating system kernel developed by Apple that powers macOS and other Apple platforms, combining components from Mach and BSD.
  • B. Darwin operating system
    Darwin is an open-source, Unix-like operating system developed by Apple that forms the core foundation of macOS, iOS, and other Apple platforms.
  • C. LLDB
    LLDB is a modern, high-performance debugger primarily used with the LLVM toolchain for languages like C, C++, and Objective-C.
  • D. I/O Kit
    I/O Kit is macOS and iOS’s object-oriented driver framework that manages hardware devices and their interaction with the operating system.
  • E. DY
    DY is the IATA airline designator used by Norwegian Air Shuttle, a major low-cost carrier based in Norway.
  • 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: dyld
Triple: [Darwin, includesComponent, dyld]
Generated description
dyld is the dynamic linker for macOS and other Darwin-based systems, responsible for loading and linking shared libraries at program startup and runtime.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: dyld
Target entity description: dyld is the dynamic linker for macOS and other Darwin-based systems, responsible for loading and linking shared libraries at program startup and runtime.
  • A. XNU
    XNU is the hybrid operating system kernel developed by Apple that powers macOS and other Apple platforms, combining components from Mach and BSD.
  • B. Darwin operating system
    Darwin is an open-source, Unix-like operating system developed by Apple that forms the core foundation of macOS, iOS, and other Apple platforms.
  • C. LLDB
    LLDB is a modern, high-performance debugger primarily used with the LLVM toolchain for languages like C, C++, and Objective-C.
  • D. I/O Kit
    I/O Kit is macOS and iOS’s object-oriented driver framework that manages hardware devices and their interaction with the operating system.
  • E. DY
    DY is the IATA airline designator used by Norwegian Air Shuttle, a major low-cost carrier based in Norway.
  • 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_69a88aaa9250819095e127d0d77e8a32 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc1570dc88190bb2b17ed4c25dbb5 completed March 7, 2026, 6:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b2229288190a7da9025dc394e67 completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6b5814f88190b6ff9d586d2b6351 completed March 9, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69ae6befcf4081909e1ee5d18abea357 completed March 9, 2026, 6:42 a.m.
Created at: March 4, 2026, 7:47 p.m.