Triple
T31498395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MacBook Pro 15-inch (2018) |
E803609
|
entity |
| Predicate | discreteGraphics |
P28918
|
FINISHED |
| Object | Radeon Pro 555X |
—
|
NE NERFINISHED |
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: Radeon Pro 555X | Statement: [MacBook Pro 15-inch (2018), discreteGraphics, Radeon Pro 555X]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: discreteGraphics Context triple: [MacBook Pro 15-inch (2018), discreteGraphics, Radeon Pro 555X]
-
A.
graphics
Indicates a relationship where one entity is responsible for creating, providing, or handling visual representations or graphical content for another entity or context.
-
B.
discretizes
Indicates that one entity converts or partitions another entity into a finite set of discrete parts, intervals, or categories.
-
C.
graphicsType
chosen
Indicates the type or category of graphics associated with or used by an entity.
-
D.
displays
Indicates that one entity visually presents or shows another entity’s content or information.
-
E.
drawType
Indicates the method or style by which something is drawn, rendered, or visually represented.
- F. None of above.
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_69f348cae52081909fa8e5f697523ae3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a1ebc9d8819082794ae663fff63d |
completed | May 3, 2026, 1:16 a.m. |
| PD | Predicate disambiguation | batch_69f69fe82e5c81909da9db0a2f3bba6d |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 30, 2026, 9:42 p.m.