Triple
T181100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TeamViewer |
E3877
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | TeamViewer Frontline |
E3877
|
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: TeamViewer Frontline | Statement: [TeamViewer, product, TeamViewer Frontline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TeamViewer Frontline Context triple: [TeamViewer, product, TeamViewer Frontline]
-
A.
TeamViewer
chosen
TeamViewer is a German software company best known for its remote access and remote control solutions that allow users to connect to and manage devices over the internet.
-
B.
Zoom Video Communications
Zoom Video Communications is a technology company best known for its widely used cloud-based video conferencing and online collaboration platform.
-
C.
Periscope
Periscope was a live video streaming mobile app that allowed users to broadcast and watch real-time video from around the world.
-
D.
Channelside
Channelside is a waterfront entertainment and residential district in downtown Tampa, Florida, known for its restaurants, nightlife, and proximity to the cruise port.
-
E.
Tymshare
Tymshare was an influential American time-sharing and computer services company active in the 1960s–1980s that helped pioneer remote computing and software services for businesses.
- 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_69a25497e2f08190a040f8c6e1842643 |
completed | Feb. 28, 2026, 2:36 a.m. |
| NER | Named-entity recognition | batch_69a25923507c8190bd7f6eda404b0da0 |
completed | Feb. 28, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a30cc5130c81908346cf86a23a6285 |
completed | Feb. 28, 2026, 3:41 p.m. |
Created at: Feb. 28, 2026, 2:40 a.m.