Triple
T2647740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andrew Tridgell |
E53823
|
entity |
| Predicate | softwareProject |
P25429
|
FINISHED |
| Object | rsync |
E286257
|
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: rsync | Statement: [Andrew Tridgell, softwareProject, rsync]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: rsync Context triple: [Andrew Tridgell, softwareProject, rsync]
-
A.
rsync
chosen
rsync is a widely used open-source utility for fast, incremental file transfer and synchronization across local and remote systems.
-
B.
rsync algorithm
The rsync algorithm is a file synchronization and transfer method that efficiently updates files over a network by sending only the differences between source and destination.
-
C.
SFTP (SSH File Transfer Protocol)
SFTP (SSH File Transfer Protocol) is a network protocol that provides encrypted file transfer and management over a secure SSH connection.
-
D.
FTP
FTP (File Transfer Protocol) is a standard network protocol used to transfer files between a client and server over a TCP/IP network.
-
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 (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_69ab495e192081909c77b622e8e7e15a |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd919bf2c81908feb768f3391e985 |
completed | March 7, 2026, 7:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb674ed4c8190a398fccdbd30e9c2 |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:53 p.m.