Triple
T16027353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gil Shwed |
E388748
|
entity |
| Predicate | companyFoundedFocus |
P121416
|
FINISHED |
| Object | cybersecurity software |
—
|
LITERAL 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: cybersecurity software | Statement: [Gil Shwed, companyFoundedFocus, cybersecurity software]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: companyFoundedFocus Context triple: [Gil Shwed, companyFoundedFocus, cybersecurity software]
-
A.
foundedCompany
Indicates that an entity established or created a company, typically as its founder or co-founder.
-
B.
companyFoundedWith
Indicates that a company was established using or in association with a particular resource, organization, or founding context.
-
C.
associatedCompanyFoundedIn
Indicates that the related company was founded in the specified year or time period.
-
D.
organizationTypeFounded
Indicates the type or category of organization that was established or created in a founding event.
-
E.
headquartersFoundedCompanyIn
Indicates that a headquarters entity established or founded a particular company.
- F. None of above. chosen
Provenance (4 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1858a00888190b8505071575dc56f |
completed | April 17, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e1826a4f7c8190aba6d4f1075141b0 |
completed | April 17, 2026, 12:44 a.m. |
| PDg | Predicate description generation | batch_69e185879c10819080a18e24969b5a6d |
completed | April 17, 2026, 12:57 a.m. |
Created at: April 10, 2026, 4:56 a.m.