Triple
T12494731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Coroner’s Toolkit |
E298653
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | The Sleuth Kit |
E192917
|
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: The Sleuth Kit | Statement: [The Coroner’s Toolkit, influenced, The Sleuth Kit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Sleuth Kit Context triple: [The Coroner’s Toolkit, influenced, The Sleuth Kit]
-
A.
sleuthkit
chosen
Sleuth Kit is an open-source digital forensics toolkit used to analyze disk images and recover evidence from file systems.
-
B.
OpenText EnCase
OpenText EnCase is a widely used digital forensics and incident response software suite for acquiring, analyzing, and preserving electronic evidence in legal and cybersecurity investigations.
-
C.
Maltego
Maltego is a graphical link analysis and data mining tool widely used in digital forensics and open-source intelligence (OSINT) investigations.
-
D.
Wireshark
Wireshark is a widely used open-source network protocol analyzer that captures and interactively inspects traffic on computer networks for troubleshooting, analysis, and security auditing.
-
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_69d6ada377208190a36011199a4d8558 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94de4089c8190917a45365e641437 |
completed | April 10, 2026, 7:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64badad488190ae1c6c2883a88a4b |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:56 p.m.