Triple
T16027355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gil Shwed |
E388748
|
entity |
| Predicate | hasLongtimeRole |
P29914
|
FINISHED |
| Object | longtime CEO of Check Point Software Technologies |
—
|
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: longtime CEO of Check Point Software Technologies | Statement: [Gil Shwed, hasLongtimeRole, longtime CEO of Check Point Software Technologies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLongtimeRole Context triple: [Gil Shwed, hasLongtimeRole, longtime CEO of Check Point Software Technologies]
-
A.
isLongStanding
Indicates that a relationship, condition, or state has existed for a considerable or extended period of time.
-
B.
hasHistoricalRoleAs
chosen
Indicates that an entity has served in a specific historical capacity, function, or position during a particular period or context.
-
C.
hasPermanentSeniority
Indicates that one entity holds a fixed, enduring precedence or higher rank over another that does not change over time.
-
D.
mayHavePriorRole
Indicates that an entity is allowed or expected to have held a specified role at some earlier time.
-
E.
hasTimePeriodOfService
Indicates that an entity is associated with a specific span of time during which it provided service or was actively serving.
- F. None of above.
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_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. |
Created at: April 10, 2026, 4:56 a.m.