Triple
T16064682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nathan Dawkins |
E389700
|
entity |
| Predicate | gamePlatformAppearance |
P1292
|
FINISHED |
| Object | Microsoft 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: Microsoft Windows | Statement: [Nathan Dawkins, gamePlatformAppearance, Microsoft Windows]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Microsoft Windows Context triple: [Nathan Dawkins, gamePlatformAppearance, Microsoft Windows]
-
A.
Windows
"Windows" is a track by the hip-hop duo Common and No I.D. from their collaborative album "The Dreamer/The Believer."
-
B.
Windows
chosen
Windows is a widely used family of graphical operating systems developed by Microsoft for personal computers, servers, and other devices.
-
C.
Windows 7
Windows 7 is a Microsoft operating system known for its improved performance, refined user interface, and widespread adoption following Windows Vista.
-
D.
Windows NT
Windows NT is a family of Microsoft operating systems designed with a robust, secure, and modular architecture for professional and enterprise use.
-
E.
Windows series
The Windows series is a group of abstract paintings by Robert Delaunay that explore color, light, and fragmented views of Paris through window-like compositions.
- 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_69d86daf32ec8190a8c0466c8f49c3c0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e21a00f6808190a60939ef7ce727a7 |
completed | April 17, 2026, 11:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe47ef6648190bf1fe216e78ef660 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:57 a.m.