Triple
T25217896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VIX futures |
E631877
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | volatility derivative |
C4207
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: volatility derivative Context triple: [VIX futures, instanceOf, volatility derivative]
-
A.
financial derivative sensitivity
A financial derivative sensitivity is a quantitative measure of how the value of a derivative changes in response to small variations in underlying market factors such as prices, interest rates, or volatility.
-
B.
financial derivative
A financial derivative is a contract whose value is based on the performance of an underlying asset, index, rate, or other financial variable, used for hedging risk, speculation, or arbitrage.
-
C.
exchange-traded derivative
chosen
An exchange-traded derivative is a standardized financial contract, such as a futures or options contract, that is bought and sold on a regulated exchange and whose value is derived from an underlying asset, index, or rate.
-
D.
option pricing model
An option pricing model is a mathematical framework used to estimate the fair value of options by quantifying how factors like underlying asset price, volatility, time to expiration, interest rates, and dividends affect their expected payoff.
-
E.
derivatives product
A derivatives product is a financial contract whose value is derived from the performance of an underlying asset, index, rate, or event, used for hedging, speculation, or arbitrage.
- F. None of above.
Provenance (1 batch)
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_69e75a8d1aa48190a4320acd3654762c |
completed | April 21, 2026, 11:07 a.m. |
Created at: April 21, 2026, 12:59 p.m.