Triple
T12822252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bain Capital |
E306558
|
entity |
| Predicate | hasAUM |
P106533
|
FINISHED |
| Object | tens of billions of US dollars in assets under management |
—
|
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: tens of billions of US dollars in assets under management | Statement: [Bain Capital, hasAUM, tens of billions of US dollars in assets under management]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAUM Context triple: [Bain Capital, hasAUM, tens of billions of US dollars in assets under management]
-
A.
hasAssociatedCapital
Indicates that an entity is linked to a specific capital city that serves as its primary administrative or political center.
-
B.
hasMajorAsset
Indicates that an entity possesses or controls a primary or most significant asset.
-
C.
requiresMinimumCapital
Indicates that one entity can only proceed, be valid, or be permitted if a specified minimum amount of capital is available or provided.
-
D.
hasWealthType
Indicates that an entity possesses or is associated with a particular category or type of wealth.
-
E.
hasLendingInstrument
Indicates that an entity possesses or utilizes a specific financial instrument used for lending.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9fcc8c8190a926ab0481d28f14 |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d964100f7481909a197396003d4a71 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d88be0481908c311f1e71b61e70 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:32 p.m.