Triple
T17932228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WeTransfer |
E448360
|
entity |
| Predicate | hasProduct |
P3585
|
FINISHED |
| Object | WeTransfer Free |
—
|
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: WeTransfer Free | Statement: [WeTransfer, hasProduct, WeTransfer Free]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WeTransfer Free Context triple: [WeTransfer, hasProduct, WeTransfer Free]
-
A.
WeTransfer
chosen
WeTransfer is a cloud-based file transfer service that enables users to easily send large files over the internet.
-
B.
easyStorage
easyStorage is a self-storage and related services brand within the easyGroup family of low-cost consumer businesses.
-
C.
For Free
"For Free" is a reflective folk song by Joni Mitchell that contrasts commercial success with the purity of a street musician’s art.
-
D.
VirtualFree
VirtualFree is a Windows API function used to release or decommit previously allocated virtual memory in a process's address space.
-
E.
FTP
FTP, in this context, refers to the Federal Theatre Project, a New Deal program that funded and produced theatrical performances across the United States during the 1930s.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a552bb848190871251474cc208d5 |
completed | April 19, 2026, 9:50 a.m. |
Created at: April 10, 2026, 10:20 a.m.