Triple
T2639135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NeXTSTEP |
E62821
|
entity |
| Predicate | includesFramework |
P1393
|
FINISHED |
| Object | Interface Kit |
E260377
|
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: Interface Kit | Statement: [NeXTSTEP, includesFramework, Interface Kit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Interface Kit Context triple: [NeXTSTEP, includesFramework, Interface Kit]
-
A.
Interface Manager
Interface Manager was the internal codename used by Microsoft during the development of its first graphical operating environment, Windows 1.0.
-
B.
INTF
INTF is a German academic institute renowned for its critical research and editions of the Greek New Testament text.
-
C.
Application Kit
chosen
Application Kit is a graphical user interface framework from the NeXTSTEP/OPENSTEP lineage that provides the core classes and infrastructure for building desktop applications.
-
D.
UIKit
UIKit is Apple’s primary user interface framework for building and managing iOS app UIs, handling views, controls, event handling, and application infrastructure.
-
E.
Facade
Facade is a structural design pattern that provides a simplified, unified interface to a complex subsystem, making it easier for clients to use.
- 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8fafad08190939b08558fea6abd |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90b628748190bdbb23f1d85bc3fd |
completed | March 10, 2026, 3:32 a.m. |
Created at: March 6, 2026, 9:53 p.m.