Triple
T18406041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | join.me |
E450125
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | LogMeIn |
—
|
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: LogMeIn | Statement: [join.me, ownedBy, LogMeIn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LogMeIn Context triple: [join.me, ownedBy, LogMeIn]
-
A.
LogMeIn
chosen
LogMeIn is a software company best known for its remote access, remote support, and collaboration tools for businesses and individuals.
-
B.
Logon
Logon is a small coastal village on Malapascua Island in the Philippines, known as the island’s main settlement and gateway for visitors.
-
C.
TeamViewer
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.
-
D.
PC-Anywhere
PC-Anywhere is a remote control and remote access software application that allows users to connect to and manage computers over a network or the internet.
-
E.
Catemu
Catemu is a small Chilean town and commune located in the Valparaíso Region, known for its agricultural activity within the Aconcagua Valley.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e51957ac7081909a2dd2b2308e4170 |
completed | April 19, 2026, 6:05 p.m. |
Created at: April 10, 2026, 10:46 a.m.