Triple
T1936609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xcode |
E41456
|
entity |
| Predicate | includesComponent |
P1393
|
FINISHED |
| Object | LLDB debugger |
E209553
|
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: LLDB debugger | Statement: [Xcode, includesComponent, LLDB debugger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LLDB debugger Context triple: [Xcode, includesComponent, LLDB debugger]
-
A.
LLDB
chosen
LLDB is a modern, high-performance debugger primarily used with the LLVM toolchain for languages like C, C++, and Objective-C.
-
B.
GNU Debugger
GNU Debugger (GDB) is a widely used free and open-source debugging tool for programs written in languages like C, C++, and Fortran, allowing developers to inspect and control program execution.
-
C.
LLVM
LLVM is a modular, reusable compiler and toolchain infrastructure project widely used for building language frontends, optimizers, and backends for diverse hardware architectures.
-
D.
GDB
GDB is a powerful open-source debugger from the GNU Project used to analyze and control the execution of programs written in languages like C, C++, and Fortran.
-
E.
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.
- 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_69a88649b24c819080047f26b6db2ded |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb2c5f6e481909b2d95861e2098f9 |
completed | March 7, 2026, 5:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3f6285c8190925af156f49cf9a2 |
completed | March 8, 2026, 10:11 p.m. |
Created at: March 4, 2026, 7:35 p.m.