Triple
T20082622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berkshire Partners |
E500039
|
entity |
| Predicate | notableInvestmentApproach |
P45042
|
FINISHED |
| Object | sector-focused investing |
—
|
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: sector-focused investing | Statement: [Berkshire Partners, notableInvestmentApproach, sector-focused investing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableInvestmentApproach Context triple: [Berkshire Partners, notableInvestmentApproach, sector-focused investing]
-
A.
notableInvestmentVehicle
Indicates that an entity is a significant or well-known vehicle through which investments are made or managed for another entity.
-
B.
notableAssetClass
Indicates that an entity is significantly associated with, or recognized for, a particular class of assets.
-
C.
vestmentStyle
Indicates the style or type of clothing or ceremonial garments associated with an entity.
-
D.
notableInvestor
Indicates that an entity is a significant or prominent investor in another entity, typically by virtue of investment size, influence, or reputation.
-
E.
investmentScope
chosen
Indicates the range or boundaries of activities, assets, or sectors that an investment is intended or allowed to cover.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e665588a9c8190886b693b13a215a8 |
completed | April 20, 2026, 5:41 p.m. |
| PD | Predicate disambiguation | batch_69e54cf369b88190931532420517dac7 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 3:41 p.m.