Triple
T82122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Microsoft |
E1649
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Outlook |
E7151
|
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: Outlook | Statement: [Microsoft, product, Outlook]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Outlook Context triple: [Microsoft, product, Outlook]
-
A.
Gmail
Gmail is Google's widely used web-based email service known for its large storage capacity, powerful search, and integration with other Google products.
-
B.
Lotus Notes
Lotus Notes is a collaborative client-server software platform best known for its email, calendaring, and business application capabilities, widely used in enterprises for groupware and workflow solutions.
-
C.
Microsoft 365
chosen
Microsoft 365 is a subscription-based suite of productivity and collaboration tools that combines Office applications with cloud services, security features, and device management.
-
D.
AOL
AOL is a pioneering American internet and online services company best known for popularizing dial-up access and email in the 1990s and early 2000s.
-
E.
Microsoft
Microsoft is a multinational technology company best known for its Windows operating system, Office productivity suite, and Azure cloud computing platform.
- 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_69a24c8150408190910a693eb51c1f71 |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f367b208190a69f5b76d6ae0496 |
completed | Feb. 28, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a26243abb881908e732c8f885cc694 |
completed | Feb. 28, 2026, 3:34 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.