Triple
T9073213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sonata |
E217418
|
entity |
| Predicate | targetOSKernelType |
P82499
|
FINISHED |
| Object | classic Mac OS kernel |
—
|
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: classic Mac OS kernel | Statement: [Sonata, targetOSKernelType, classic Mac OS kernel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: targetOSKernelType Context triple: [Sonata, targetOSKernelType, classic Mac OS kernel]
-
A.
kernelVersion
Indicates the specific operating system kernel version associated with an entity.
-
B.
operatorSystem
Indicates a relationship where one entity functions as the operating system that manages or controls another entity (such as a device, application, or system).
-
C.
kernelFamily
Indicates that one kernel is a member of, or derived from, a particular family or class of related kernels.
-
D.
systemType
Indicates the classification or category of a system that an entity belongs to or operates as.
-
E.
hasKernelType
chosen
Indicates that an entity possesses or is associated with a specific type or classification of kernel.
- 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_69ca83d6c14c8190bc056d927f00a2a2 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc956111dc8190a25cefe68fd6a949 |
completed | April 1, 2026, 3:47 a.m. |
| PD | Predicate disambiguation | batch_69cc65f881248190bfd220bb28a9fb5f |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:12 p.m.