Triple
T11959634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cygnus Solutions |
E284633
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | GNU Debugger |
E9099
|
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: GNU Debugger | Statement: [Cygnus Solutions, notableWork, GNU Debugger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GNU Debugger Context triple: [Cygnus Solutions, notableWork, GNU Debugger]
-
A.
GNU Debugger
chosen
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.
-
B.
GDB
GDB is a German vehicle registration code assigned to the district of Nordwestmecklenburg in the state of Mecklenburg-Vorpommern.
-
C.
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.
-
D.
gdbserver
gdbserver is a lightweight program that allows the GNU Debugger (GDB) to remotely debug applications running on another machine or embedded device using the GDB remote serial protocol.
-
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.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9036941948190b150369094551731 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4592fa9a48190a0450e3d0c57c4d3 |
completed | May 1, 2026, 7:41 a.m. |
Created at: April 8, 2026, 9:45 p.m.