Triple
T7944681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Lake Waterman |
E184469
|
entity |
| Predicate | typicalUseOfProceeds |
P9389
|
FINISHED |
| Object | growth initiatives |
—
|
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: growth initiatives | Statement: [Silver Lake Waterman, typicalUseOfProceeds, growth initiatives]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalUseOfProceeds Context triple: [Silver Lake Waterman, typicalUseOfProceeds, growth initiatives]
-
A.
revenueUse
chosen
Indicates how generated revenue is allocated, spent, or applied toward specific purposes or activities.
-
B.
usedFund
Indicates that one entity expended or applied a particular fund or financial resource for some purpose.
-
C.
profitsFrom
Indicates that one entity gains financial or material benefit as a result of another entity’s actions, existence, or situation.
-
D.
usedCapital
Indicates that an entity made use of a particular capital city as its seat of government or primary administrative center.
-
E.
plannedUseOf
Indicates that one entity is intended or designated to be used for a specific purpose, function, or activity involving another entity.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b0e84448190a7e8e0749776a592 |
completed | March 31, 2026, 3:10 a.m. |
| PD | Predicate disambiguation | batch_69cae93526d081909303265bf60419fd |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 5:09 p.m.