Triple
T22814463
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windows 10 Mobile |
E565063
|
entity |
| Predicate | includesFeature |
P182
|
FINISHED |
| Object | Action Center |
—
|
NE NERFINISHED |
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: Action Center | Statement: [Windows 10 Mobile, includesFeature, Action Center]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Action Center Context triple: [Windows 10 Mobile, includesFeature, Action Center]
-
A.
Action Center
chosen
Action Center is a Windows 10 notification and quick settings panel that consolidates alerts and provides fast access to common system controls.
-
B.
Action Center
Action Center is a Windows 7 control panel feature that centralizes security and maintenance notifications and troubleshooting tools for the operating system.
-
C.
End of Watch
End of Watch is a 2012 American found-footage-style crime drama film following two LAPD officers as they patrol the dangerous streets of South Central Los Angeles.
-
D.
End of Watch
End of Watch is a 2016 crime thriller novel by Stephen King that concludes the Bill Hodges trilogy, blending detective fiction with supernatural elements.
-
E.
Watch Dogs
Watch Dogs is an open-world action-adventure video game series centered on hacking, surveillance, and cybercrime in a modern urban setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17d62b0ec8190ac22909192e8a876 |
completed | April 29, 2026, 3:39 a.m. |
Created at: April 17, 2026, 3:33 p.m.