Triple
T17568551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Craig Federighi |
E427878
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | Apple executive |
C37634
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: Apple executive Context triple: [Craig Federighi, instanceOf, Apple executive]
-
A.
Apple employee
chosen
An Apple employee is an individual who works for Apple Inc., contributing to the design, development, marketing, retail, or support of the company’s products and services while upholding its brand values and standards.
-
B.
Nintendo executive
A Nintendo executive is a high-level decision-maker responsible for guiding the company’s strategic direction, overseeing game and hardware portfolios, and managing business operations to sustain Nintendo’s brand and market success.
-
C.
Microsoft employee
A Microsoft employee is an individual hired by Microsoft Corporation to contribute to the development, support, and operation of its software, hardware, and cloud-based products and services.
-
D.
IBM employee
An IBM employee is an individual who works for International Business Machines Corporation, contributing their skills and expertise to develop, support, or manage the company’s technology products, services, and operations.
-
E.
Toyota executive
A Toyota executive is a high-level manager responsible for shaping and overseeing the company’s global strategy, operations, and innovation in alignment with Toyota’s corporate philosophy and business goals.
- F. None of above.
Provenance (1 batch)
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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
Created at: April 10, 2026, 5:50 a.m.