Triple
T8415088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Core ML |
E198712
|
entity |
| Predicate | integratesWith |
P1075
|
FINISHED |
| Object | Vision framework |
E216086
|
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: Vision framework | Statement: [Core ML, integratesWith, Vision framework]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vision framework Context triple: [Core ML, integratesWith, Vision framework]
-
A.
Vision
Vision is a powerful, synthetically created superhero in the Marvel universe known for his android body, advanced intellect, and moral complexity.
-
B.
Vision
chosen
Vision is Apple’s mixed-reality product line centered on advanced spatial computing headsets like the Apple Vision Pro.
-
C.
Visual Component Library
Visual Component Library is Delphi’s native GUI framework that provides a rich set of reusable visual and non-visual components for building Windows applications.
-
D.
Still Image Architecture
Still Image Architecture was an early Windows technology framework for communicating with scanners and digital cameras that was later superseded by Windows Image Acquisition.
-
E.
Deep Image
Deep Image is a mid-20th-century American poetic movement emphasizing vivid, often surreal imagery to evoke deep psychological and emotional resonance.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e443a08190983d9a0a61e0f781 |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce032a25ec819094c6346eb2a7f973 |
completed | April 2, 2026, 5:48 a.m. |
Created at: March 30, 2026, 6:06 p.m.