Triple
T14396079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maty Siman |
E356951
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Checkmarx |
E72311
|
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: Checkmarx | Statement: [Maty Siman, employer, Checkmarx]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Checkmarx Context triple: [Maty Siman, employer, Checkmarx]
-
A.
Checkmarx
chosen
Checkmarx is a cybersecurity company specializing in application security testing solutions that help organizations identify and remediate vulnerabilities in their software code.
-
B.
Tenable
Tenable is a British daytime television quiz show, hosted by Warwick Davis, in which teams of contestants attempt to complete top-ten lists on a variety of topics.
-
C.
Rapid7
Rapid7 is a cybersecurity company known for providing vulnerability management, incident detection, and penetration testing solutions.
-
D.
SAST
SAST (Static Application Security Testing) is a security testing methodology that analyzes source code or binaries to identify vulnerabilities early in the software development lifecycle.
-
E.
SmartBear Software
SmartBear Software is a software company known for its tools that support API development, testing, and monitoring, including stewardship of the popular Swagger ecosystem.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90826f908190b3969af9b7cf922f |
completed | April 14, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd648409f48190b099cd137879487e |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:17 a.m.