Triple
T8609555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PyGObject |
E203882
|
entity |
| Predicate | supports |
P516
|
FINISHED |
| Object | Windows |
E5904
|
NE 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: Windows | Statement: [PyGObject, supports, Windows]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Windows Context triple: [PyGObject, supports, Windows]
-
A.
Windows
chosen
Windows is a widely used family of graphical operating systems developed by Microsoft for personal computers, servers, and other devices.
-
B.
Windows
"Windows" is a track by the hip-hop duo Common and No I.D. from their collaborative album "The Dreamer/The Believer."
-
C.
Windows PC
A Windows PC is a personal computer running the Microsoft Windows operating system, commonly used for gaming, productivity, and general-purpose computing.
-
D.
Windows 7
Windows 7 is a Microsoft operating system known for its improved performance, refined user interface, and widespread adoption following Windows Vista.
-
E.
Windows NT
Windows NT is a family of Microsoft operating systems designed with a robust, secure, and modular architecture for professional and enterprise use.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca832c23e4819095a9f3eea4a21828 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46ed77588190a872d22d9d1f7429 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea90dd93081908140ac0ce23be820 |
completed | April 2, 2026, 5:36 p.m. |
Created at: March 30, 2026, 6:25 p.m.