Triple
T22150831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Freddy Delbaen |
E547406
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | “Coherent Measures of Risk” |
—
|
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: “Coherent Measures of Risk” | Statement: [Freddy Delbaen, notableWork, “Coherent Measures of Risk”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Coherent Measures of Risk” Context triple: [Freddy Delbaen, notableWork, “Coherent Measures of Risk”]
-
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.
Merton’s model of credit risk
Merton’s model of credit risk is a structural framework in finance that values a firm’s equity as a call option on its assets to assess the probability of default and price corporate debt.
-
C.
Rabin’s calibration theorem for expected utility
Rabin’s calibration theorem for expected utility is a result in behavioral economics showing that standard expected utility theory with concave utility cannot plausibly explain observed levels of risk aversion over small stakes without implying absurdly high risk aversion over large stakes.
-
D.
The Prudential Regulation of Banks (with Mathias Dewatripont)
"The Prudential Regulation of Banks" is an influential book co-authored by Jean Tirole and Mathias Dewatripont that develops a rigorous economic framework for understanding and designing banking regulation and supervision.
-
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: “Coherent Measures of Risk” Target entity description: “Coherent Measures of Risk” is a foundational paper in mathematical finance that introduced the axiomatic framework of coherent risk measures, reshaping modern risk management theory.
-
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.
Merton’s model of credit risk
Merton’s model of credit risk is a structural framework in finance that values a firm’s equity as a call option on its assets to assess the probability of default and price corporate debt.
-
C.
Rabin’s calibration theorem for expected utility
Rabin’s calibration theorem for expected utility is a result in behavioral economics showing that standard expected utility theory with concave utility cannot plausibly explain observed levels of risk aversion over small stakes without implying absurdly high risk aversion over large stakes.
-
D.
The Prudential Regulation of Banks (with Mathias Dewatripont)
"The Prudential Regulation of Banks" is an influential book co-authored by Jean Tirole and Mathias Dewatripont that develops a rigorous economic framework for understanding and designing banking regulation and supervision.
-
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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129f37dac8190a7cecb12f4271515 |
completed | April 28, 2026, 9:43 p.m. |
Created at: April 16, 2026, 8:33 p.m.