Triple

T9004240
Position Surface form Disambiguated ID Type / Status
Subject Tom Love E215103 entity
Predicate notableWork P4 FINISHED
Object Objective-C programming language E41439 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: Objective-C programming language | Statement: [Tom Love, notableWork, Objective-C programming language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Objective-C programming language
Context triple: [Tom Love, notableWork, Objective-C programming language]
  • A. Objective-C chosen
    Objective-C is an object-oriented programming language primarily known for its use in developing software for Apple's macOS and iOS platforms.
  • B. Objective-C++
    Objective-C++ is a programming language extension that allows developers to seamlessly mix Objective-C and C++ code within the same source file, enabling the use of both languages' features in a single program.
  • C. macOS Cocoa
    macOS Cocoa is Apple’s native object-oriented application framework for building graphical user interfaces on macOS.
  • D. Objective-C runtime
    Objective-C runtime is the dynamic library and infrastructure that enables Objective-C’s message passing, dynamic typing, and introspection features at program execution time.
  • E. GNUStep Objective-C runtime extensions
    GNUStep Objective-C runtime extensions are enhancements to the Objective-C runtime developed by the GNUstep project, adding advanced features such as improved reflection, dynamic loading, and language interoperability beyond the standard Objective-C runtime.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6959497c8190a748c78504dd2eb6 completed April 1, 2026, 12:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d017643df48190abdb672a3f85aef3 completed April 3, 2026, 7:39 p.m.
Created at: March 30, 2026, 7:05 p.m.