Triple
T8993379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | smit |
E214842
|
entity |
| Predicate | uses |
P98
|
FINISHED |
| Object | Object Data Manager |
E771690
|
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: Object Data Manager | Statement: [smit, uses, Object Data Manager]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Object Data Manager Context triple: [smit, uses, Object Data Manager]
-
A.
Object Data Manager
Object Data Manager is a system component responsible for storing, organizing, and managing configuration and other structured data for applications or services.
-
B.
Object Data Manager (ODM)
chosen
Object Data Manager (ODM) is IBM AIX’s low-level database-like system for storing and managing configuration and system object information.
-
C.
IDataObject
IDataObject is a core COM interface used in OLE for transferring and managing data, particularly in clipboard and drag-and-drop operations on Windows.
-
D.
Meta Object Facility
Meta Object Facility is an OMG standard for defining, manipulating, and integrating metadata and models, serving as a core foundation for model-driven engineering.
-
E.
Core Data
Core Data is Apple’s object graph and persistence framework used in macOS and iOS apps to manage and store model layer data.
- 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc687798a881908e6fdd9a39219f1d |
completed | April 1, 2026, 12:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdb92ebf4819092b7ee94af16064b |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:04 p.m.