Triple
T2952340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkshire Hathaway Class A |
E79847
|
entity |
| Predicate | dividendPolicy |
P44303
|
FINISHED |
| Object | no regular cash dividend |
—
|
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: no regular cash dividend | Statement: [Berkshire Hathaway Class A, dividendPolicy, no regular cash dividend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dividendPolicy Context triple: [Berkshire Hathaway Class A, dividendPolicy, no regular cash dividend]
-
A.
dividendType
Indicates the classification of a dividend based on its nature or form (e.g., cash, stock, special), specifying what kind of dividend is being distributed.
-
B.
paysDividends
Indicates that one entity distributes a portion of its earnings as dividends to another entity.
-
C.
dividendFrequency
Indicates how often dividend payments are scheduled or distributed over a given period.
-
D.
divisionRenamedFrom
Indicates that a division currently known by one name was previously known by another specified name.
-
E.
dividedBy
Indicates that one quantity is separated into a specified number of equal parts or groups by another quantity, representing a division relationship between them.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98fcea5c8190b7d80de942bcb4f7 |
completed | March 8, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69ad960a70ac8190816b5ae3e8631031 |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f5d28c8190899d90204dc43428 |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 2:57 p.m.