Triple
T7897276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | System |
E183368
|
entity |
| Predicate | containsType |
P16808
|
FINISHED |
| Object |
System.SByte
System.SByte is a .NET value type representing an 8-bit signed integer with a range from -128 to 127.
|
E697467
|
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: System.SByte | Statement: [System, containsType, System.SByte]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: System.SByte Context triple: [System, containsType, System.SByte]
-
A.
System.Net
System.Net is a .NET namespace that provides classes for network programming, including HTTP communication, sockets, and other internet protocol support.
-
B.
System.Collections
System.Collections is a .NET namespace that provides fundamental interfaces and classes for working with non-generic collections such as lists, queues, arrays, and dictionaries.
-
C.
System.Threading
System.Threading is a .NET namespace that provides types and APIs for working with threads, tasks, synchronization, and concurrent programming.
-
D.
Babylon system
The Babylon system is a Rastafarian term for the oppressive, materialistic, and corrupt socio-political order seen as antithetical to spiritual and African liberation.
-
E.
System1
System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
- 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: System.SByte Triple: [System, containsType, System.SByte]
Generated description
System.SByte is a .NET value type representing an 8-bit signed integer with a range from -128 to 127.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: System.SByte Target entity description: System.SByte is a .NET value type representing an 8-bit signed integer with a range from -128 to 127.
-
A.
System.Net
System.Net is a .NET namespace that provides classes for network programming, including HTTP communication, sockets, and other internet protocol support.
-
B.
System.Collections
System.Collections is a .NET namespace that provides fundamental interfaces and classes for working with non-generic collections such as lists, queues, arrays, and dictionaries.
-
C.
System.Threading
System.Threading is a .NET namespace that provides types and APIs for working with threads, tasks, synchronization, and concurrent programming.
-
D.
Babylon system
The Babylon system is a Rastafarian term for the oppressive, materialistic, and corrupt socio-political order seen as antithetical to spiritual and African liberation.
-
E.
System1
System1 is a digital marketing and customer acquisition company specializing in data-driven advertising and online performance-based media.
- 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_69ca828c474c8190a254d6499871eaff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a296db8819084c620b12f77acb5 |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bb24c8c8190860e4dd1d705b04b |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb5f1e84fc8190b535016cb69405b4 |
completed | March 31, 2026, 5:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb76a214488190b90e5db28511daa0 |
completed | March 31, 2026, 7:24 a.m. |
Created at: March 30, 2026, 5:01 p.m.