Triple
T2555525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SmartScreen |
E56721
|
entity |
| Predicate | successorTo |
P78
|
FINISHED |
| Object | Phishing Filter |
E56721
|
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: Phishing Filter | Statement: [SmartScreen, successorTo, Phishing Filter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Phishing Filter Context triple: [SmartScreen, successorTo, Phishing Filter]
-
A.
SmartScreen
chosen
SmartScreen is a Microsoft security technology that helps protect users by blocking malicious websites, downloads, and potentially unwanted applications in browsers like Microsoft Edge.
-
B.
XProtect
XProtect is a video management software platform widely used for managing and recording IP-based surveillance systems.
-
C.
Maltego
Maltego is a graphical link analysis and data mining tool widely used in digital forensics and open-source intelligence (OSINT) investigations.
-
D.
APT
APT is a widely used command-line package management tool for installing, updating, and removing software on Debian-based Linux systems.
-
E.
Ettercap
Ettercap is a network security tool used for sniffing, intercepting, and manipulating traffic on local area networks, commonly employed for man-in-the-middle attacks and protocol analysis.
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd30eec988190810346bb8b6cb489 |
completed | March 7, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5d1ad6b4819097f1d18a12aa2b89 |
completed | March 9, 2026, 11:51 p.m. |
Created at: March 6, 2026, 9:48 p.m.