Triple
T8220412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows Basic |
E192043
|
entity |
| Predicate | successorTheme |
P81692
|
FINISHED |
| Object | simplified non-Aero themes in later Windows versions |
—
|
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: simplified non-Aero themes in later Windows versions | Statement: [Windows Basic, successorTheme, simplified non-Aero themes in later Windows versions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorTheme Context triple: [Windows Basic, successorTheme, simplified non-Aero themes in later Windows versions]
-
A.
successorSeries
Indicates that one series directly follows another in sequence, continuing or extending it as its successor.
-
B.
successor
Indicates that one entity directly follows another in an ordered sequence or position.
-
C.
successorSystem
Indicates that one system directly follows and replaces another in function, role, or version.
-
D.
successorTitle
Indicates the title or position that directly follows and replaces a previous one in a sequence or succession.
-
E.
successorCategory
Indicates that one category directly follows or replaces another in an ordered sequence or hierarchy.
- F. None of above. chosen
Provenance (4 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb77c782a8819086019ab6bac05749 |
completed | March 31, 2026, 7:29 a.m. |
| PD | Predicate disambiguation | batch_69cb36af41e081909dee92b9bc4947f1 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb4d9b03108190a6785834f21ff75e |
completed | March 31, 2026, 4:29 a.m. |
Created at: March 30, 2026, 5:45 p.m.