Triple
T8248201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metasploit Framework |
E192897
|
entity |
| Predicate | acquisitionBy |
P2511
|
FINISHED |
| Object | Rapid7 |
E721416
|
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: Rapid7 | Statement: [Metasploit Framework, acquisitionBy, Rapid7]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rapid7 Context triple: [Metasploit Framework, acquisitionBy, Rapid7]
-
A.
Rapid7
chosen
Rapid7 is a cybersecurity company known for providing vulnerability management, incident detection, and penetration testing solutions.
-
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.
Palo Alto Networks
Palo Alto Networks is a leading global cybersecurity company known for its next-generation firewalls, cloud security solutions, and threat intelligence services.
-
D.
SolarWinds
SolarWinds is an American software company best known for its IT infrastructure management tools and for being at the center of a major 2020 supply-chain cyberattack.
-
E.
Nessus
Nessus is a centaur in Greek mythology best known for his role in the death of Heracles after deceitfully causing the poisoned garment incident.
- 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_69ca82de7b8c81908d8106f8a53cff9b |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb78c6b3c48190a3ecebf449766124 |
completed | March 31, 2026, 7:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd680b0f608190b69336228346b47d |
completed | April 1, 2026, 6:46 p.m. |
Created at: March 30, 2026, 5:48 p.m.