Triple
T9761818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NSCoder |
E236687
|
entity |
| Predicate | superclassOf |
P62912
|
FINISHED |
| Object |
NSArchiver
NSArchiver is a legacy Cocoa class used to convert Objective-C objects into an archived data format for persistent storage or transmission.
|
E236687
|
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: NSArchiver | Statement: [NSCoder, superclassOf, NSArchiver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NSArchiver Context triple: [NSCoder, superclassOf, NSArchiver]
-
A.
NSCoder
NSCoder is an abstract class in Apple’s Foundation framework that provides an interface for encoding and decoding objects and values for archiving and serialization.
-
B.
NSData
NSData is a fundamental Objective-C class in Apple’s Foundation framework that represents immutable raw binary data.
-
C.
Engrampa archive manager
Engrampa archive manager is the MATE desktop environment’s file archiving tool used to create, view, and extract compressed archives in various formats.
-
D.
NSFileManager
NSFileManager is an Objective-C class in Apple’s Foundation framework that provides an interface for managing and manipulating the file system, including files, directories, and related attributes.
-
E.
Avamar
Avamar is EMC Corporation’s enterprise data backup and recovery software solution known for its source-based data deduplication technology.
- 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: NSArchiver Triple: [NSCoder, superclassOf, NSArchiver]
Generated description
NSArchiver is a legacy Cocoa class used to convert Objective-C objects into an archived data format for persistent storage or transmission.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NSArchiver Target entity description: NSArchiver is a legacy Cocoa class used to convert Objective-C objects into an archived data format for persistent storage or transmission.
-
A.
NSCoder
chosen
NSCoder is an abstract class in Apple’s Foundation framework that provides an interface for encoding and decoding objects and values for archiving and serialization.
-
B.
NSData
NSData is a fundamental Objective-C class in Apple’s Foundation framework that represents immutable raw binary data.
-
C.
Engrampa archive manager
Engrampa archive manager is the MATE desktop environment’s file archiving tool used to create, view, and extract compressed archives in various formats.
-
D.
NSFileManager
NSFileManager is an Objective-C class in Apple’s Foundation framework that provides an interface for managing and manipulating the file system, including files, directories, and related attributes.
-
E.
Avamar
Avamar is EMC Corporation’s enterprise data backup and recovery software solution known for its source-based data deduplication technology.
- F. None of above.
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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda04c70108190a8ed09eb6f2a124e |
completed | April 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bcec777c81908b2eff64f4756517 |
completed | April 5, 2026, 1:37 a.m. |
| NEDg | Description generation | batch_69d1beefbd1c8190bab597373231cca1 |
completed | April 5, 2026, 1:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1bf4bb6088190801095cacd218571 |
completed | April 5, 2026, 1:47 a.m. |
Created at: March 30, 2026, 8:25 p.m.