Triple

T11961513
Position Surface form Disambiguated ID Type / Status
Subject Robert C. Merton E284678 entity
Predicate notableIdea P4 FINISHED
Object 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.
E956284 NE FINISHED

How this triple was built (4 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: Merton’s model of credit risk | Statement: [Robert C. Merton, notableIdea, Merton’s model of credit risk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merton’s model of credit risk
Context triple: [Robert C. Merton, notableIdea, Merton’s model of credit risk]
  • A. Lucas asset pricing model
    The Lucas asset pricing model is a foundational rational expectations framework in macro-finance that explains asset prices through representative-agent intertemporal consumption choices under uncertainty.
  • B. 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.
  • C. Modigliani–Brumberg model
    The Modigliani–Brumberg model is an economic life-cycle theory explaining how individuals plan consumption and saving over their lifetimes to smooth living standards despite changing income.
  • D. “Liquidity Preference as Behavior Towards Risk”
    “Liquidity Preference as Behavior Towards Risk” is a seminal 1958 paper by economist James Tobin that reformulates Keynesian liquidity preference theory using modern portfolio theory to explain money demand as a response to risk and uncertainty.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Merton’s model of credit risk
Triple: [Robert C. Merton, notableIdea, Merton’s model of credit risk]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Merton’s model of credit risk
Target entity description: 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.
  • A. Lucas asset pricing model
    The Lucas asset pricing model is a foundational rational expectations framework in macro-finance that explains asset prices through representative-agent intertemporal consumption choices under uncertainty.
  • B. 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.
  • C. Modigliani–Brumberg model
    The Modigliani–Brumberg model is an economic life-cycle theory explaining how individuals plan consumption and saving over their lifetimes to smooth living standards despite changing income.
  • D. “Liquidity Preference as Behavior Towards Risk”
    “Liquidity Preference as Behavior Towards Risk” is a seminal 1958 paper by economist James Tobin that reformulates Keynesian liquidity preference theory using modern portfolio theory to explain money demand as a response to risk and uncertainty.
  • E. 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.
  • F. None of above. chosen

Provenance (5 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037848f481908276716675464464 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f4592fa9a48190a0450e3d0c57c4d3 completed May 1, 2026, 7:41 a.m.
NEDg Description generation batch_69f4645ef63881909b46937f73d637a3 completed May 1, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69f465be4db08190882898a17d077019 completed May 1, 2026, 8:35 a.m.
Created at: April 8, 2026, 9:45 p.m.