Triple
T19326384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ChiefFinancialOfficerOfTheBlackstoneGroup |
E483365
|
entity |
| Predicate | responsibleFor |
P636
|
FINISHED |
| Object | FinancialRiskManagementAtTheBlackstoneGroup |
—
|
NE NERFINISHED |
How this triple was built (3 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: FinancialRiskManagementAtTheBlackstoneGroup | Statement: [ChiefFinancialOfficerOfTheBlackstoneGroup, responsibleFor, FinancialRiskManagementAtTheBlackstoneGroup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FinancialRiskManagementAtTheBlackstoneGroup Context triple: [ChiefFinancialOfficerOfTheBlackstoneGroup, responsibleFor, FinancialRiskManagementAtTheBlackstoneGroup]
-
A.
Quantitative Risk Management
Quantitative Risk Management is an academic program focused on applying mathematical, statistical, and financial tools to measure, model, and manage risk in finance and related industries.
-
B.
Centre for Risk Management
The Centre for Risk Management is a specialized unit within Norway’s public health system that focuses on assessing, managing, and advising on health-related risks to support evidence-based policy and preparedness.
-
C.
Master of Quantitative Management
The Master of Quantitative Management is a graduate business degree focused on applying data analytics, statistics, and quantitative methods to solve complex organizational and managerial problems.
-
D.
FRM
FRM is the National Rail station code for Fareham railway station in Hampshire, England.
-
E.
Black–Litterman model
The Black–Litterman model is an asset allocation framework that blends market equilibrium returns with investor views to produce more stable and intuitive portfolio weights than traditional mean-variance optimization.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FinancialRiskManagementAtTheBlackstoneGroup Target entity description: FinancialRiskManagementAtTheBlackstoneGroup refers to the processes and strategies used by The Blackstone Group to identify, assess, and mitigate financial risks across its investment and corporate activities.
-
A.
Quantitative Risk Management
Quantitative Risk Management is an academic program focused on applying mathematical, statistical, and financial tools to measure, model, and manage risk in finance and related industries.
-
B.
Centre for Risk Management
The Centre for Risk Management is a specialized unit within Norway’s public health system that focuses on assessing, managing, and advising on health-related risks to support evidence-based policy and preparedness.
-
C.
Master of Quantitative Management
The Master of Quantitative Management is a graduate business degree focused on applying data analytics, statistics, and quantitative methods to solve complex organizational and managerial problems.
-
D.
FRM
FRM is the National Rail station code for Fareham railway station in Hampshire, England.
-
E.
Black–Litterman model
The Black–Litterman model is an asset allocation framework that blends market equilibrium returns with investor views to produce more stable and intuitive portfolio weights than traditional mean-variance optimization.
- F. None of above. chosen
Provenance (2 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8bb28c81909b3a3bbb96b69b4f |
completed | April 20, 2026, 11:27 a.m. |
Created at: April 10, 2026, 1:33 p.m.