Triple
T16355481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panthers |
E397167
|
entity |
| Predicate | conferenceShortName |
P3613
|
FINISHED |
| Object | MVC |
E133615
|
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: MVC | Statement: [Panthers, conferenceShortName, MVC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MVC Context triple: [Panthers, conferenceShortName, MVC]
-
A.
MVC
chosen
MVC refers to the Missouri Valley Conference, one of the oldest NCAA Division I athletic conferences in the United States.
-
B.
MVC
MVC is a community college in Moreno Valley, California, that is part of the Riverside Community College District.
-
C.
Model-View-Controller
Model-View-Controller (MVC) is a software architectural pattern that separates an application into three interconnected components—model, view, and controller—to improve modularity, testability, and maintainability.
-
D.
Model-View-Presenter
Model-View-Presenter is a software architectural pattern that separates an application into model, view, and presenter components to improve testability and maintainability, particularly in user interface code.
-
E.
MVVM
MVVM (Model–View–ViewModel) is a software architectural pattern that separates an application's user interface from its business logic and data models to improve testability, maintainability, and modularity.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2face3a54819099418edd0eecc963 |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002db841dc8190bfe8a0d8fca1b309 |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:07 a.m.