Triple
T23197124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ansell |
E579901
|
entity |
| Predicate | platformOfWork |
P53112
|
FINISHED |
| Object | Microsoft Windows |
—
|
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: Microsoft Windows | Statement: [Ansell, platformOfWork, Microsoft Windows]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Microsoft Windows Context triple: [Ansell, platformOfWork, Microsoft 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
Windows is a supporting character and radio operator in John Carpenter’s horror film "The Thing," serving alongside R.J. MacReady at the isolated Antarctic research station.
-
D.
Windows
"Windows" is a 1979 psychological thriller film starring Elizabeth Ashley, known for its dark, suspenseful portrayal of obsession and voyeurism.
-
E.
Windows 7
Windows 7 is a Microsoft operating system known for its improved performance, refined user interface, and widespread adoption following Windows Vista.
- 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_69e24600eed08190bd7e5295653a1503 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fdc0b8081909242fdc5cb1da517 |
completed | April 29, 2026, 4:58 a.m. |
Created at: April 17, 2026, 4:06 p.m.