Triple
T181095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TeamViewer |
E3877
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | TeamViewer Tensor |
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 Tensor | Statement: [TeamViewer, product, TeamViewer Tensor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TeamViewer Tensor Context triple: [TeamViewer, product, TeamViewer Tensor]
-
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.
TB12
TB12 is the widely used nickname and personal brand of legendary NFL quarterback Tom Brady, often associated with his jersey number and fitness/lifestyle company.
-
C.
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.
-
D.
Chromebox
Chromebox is a compact desktop computer that runs Google's ChromeOS and is designed primarily for web-based computing using the Chrome browser.
-
E.
TUN
TUN is the three-letter ISO 3166-1 alpha-3 country code assigned to Tunisia.
- 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_69a2fa7c7a288190bc547d5e7010732b |
completed | Feb. 28, 2026, 2:23 p.m. |
Created at: Feb. 28, 2026, 2:40 a.m.