Triple
T26870534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fairfield Sentry |
E676598
|
entity |
| Predicate | wasOneOfLargestFeederFundsTo |
P161545
|
FINISHED |
| Object | Bernard Madoff |
—
|
NE NERFINISHED |
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: Bernard Madoff | Statement: [Fairfield Sentry, wasOneOfLargestFeederFundsTo, Bernard Madoff]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasOneOfLargestFeederFundsTo Context triple: [Fairfield Sentry, wasOneOfLargestFeederFundsTo, Bernard Madoff]
-
A.
usedFeederFunds
Indicates that an entity employed feeder funds as intermediary investment vehicles to channel capital into another fund or investment structure.
-
B.
typeOfWealthFund
Indicates the specific category or classification of a wealth fund (e.g., sovereign, pension, endowment) associated with an entity.
-
C.
isOneOfLargestBanksIn
Indicates that a bank ranks among the largest financial institutions within the specified geographic or market region.
-
D.
funderOf
Indicates that one entity provides financial support or funding for another entity, project, or activity.
-
E.
isIncludedInMajorBankETFs
Indicates that an entity is a constituent holding within one or more major bank-focused exchange-traded funds (ETFs).
- 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_69eee9ba94bc8190b44c5d4397d04ecd |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61e9b57bc8190a262eb0203f9dd3f |
completed | May 2, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69f611ad2eb48190ac1ed0090f13f7a9 |
completed | May 2, 2026, 3:01 p.m. |
| PDg | Predicate description generation | batch_69f6142a0b988190b404d078f73c3cb9 |
completed | May 2, 2026, 3:11 p.m. |
Created at: April 27, 2026, 5:32 a.m.