Triple
T299827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Classic Mac OS |
E6173
|
entity |
| Predicate | multitaskingModel |
P5328
|
FINISHED |
| Object | cooperative multitasking |
—
|
LITERAL 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: cooperative multitasking | Statement: [Classic Mac OS, multitaskingModel, cooperative multitasking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: multitaskingModel Context triple: [Classic Mac OS, multitaskingModel, cooperative multitasking]
-
A.
executionModel
chosen
Indicates how a process, task, or operation is carried out or implemented, specifying the underlying method, strategy, or mechanism of its execution.
-
B.
primaryTask
Indicates that an entity has a main or most important task, role, or function it is responsible for above all others.
-
C.
collaborationModel
Indicates the type or structure of cooperative interaction or joint work established between entities.
-
D.
operatingModel
Indicates how an organization structures and manages its processes, resources, and governance to deliver its products or services.
-
E.
hasCognitiveComponent
Indicates that the related entity or process involves or depends on mental activities such as thinking, reasoning, perception, or understanding.
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea0dd1dc8190aecd5afdeb2fd74b |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e9398df08190af40063a2de7a1d0 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.