Triple

T14168675
Position Surface form Disambiguated ID Type / Status
Subject Itô integral E351145 entity
Predicate usedIn P98 FINISHED
Object Black–Scholes model E59634 NE 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: Black–Scholes model | Statement: [Itô integral, usedIn, Black–Scholes model]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black–Scholes model
Context triple: [Itô integral, usedIn, Black–Scholes model]
  • A. Black–Scholes model chosen
    The Black–Scholes model is a fundamental mathematical framework in financial economics for pricing options and other derivatives by modeling asset prices as stochastic processes.
  • B. Merton model
    The Merton model is a structural credit risk framework that values a company's equity as a call option on its assets to assess default risk and price corporate debt and derivatives.
  • C. Black–Derman–Toy model
    The Black–Derman–Toy model is a one-factor short-rate interest rate model widely used in finance to price interest rate derivatives and construct yield curves.
  • D. Bachelier
    Bachelier was a prominent 19th-century French publishing house known for issuing influential scientific and philosophical works.
  • E. binomial options pricing model
    The binomial options pricing model is a discrete-time valuation method that models possible future movements in an underlying asset’s price to determine the fair value of options and their risk sensitivities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d8278775fc8190b0802d22ca2f495d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61b355f08190864c7322bbcb766d completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcf7f779248190921c85f99f587296 completed May 7, 2026, 8:37 p.m.
Created at: April 10, 2026, 1 a.m.