Triple
T18630691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recursive Methods in Economic Dynamics |
E455406
|
entity |
| Predicate | usesMethod |
P859
|
FINISHED |
| Object | Bellman operator |
—
|
NE NERFINISHED |
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: Bellman operator | Statement: [Recursive Methods in Economic Dynamics, usesMethod, Bellman operator]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bellman operator Context triple: [Recursive Methods in Economic Dynamics, usesMethod, Bellman operator]
-
A.
Bellman equation
chosen
The Bellman equation is a fundamental recursive relationship in dynamic programming and reinforcement learning that expresses the value of a decision problem in terms of immediate rewards plus the expected value of subsequent states.
-
B.
Bellman
Bellman is a surname most prominently associated with New Zealand-born British actress Gina Bellman, known for her roles in television and film.
-
C.
Chapman–Kolmogorov equation
The Chapman–Kolmogorov equation is a fundamental relation in the theory of stochastic processes that expresses how transition probabilities of a Markov process over longer time intervals can be obtained by integrating over intermediate states.
-
D.
Kolmogorov backward equation
The Kolmogorov backward equation is a fundamental partial differential equation in stochastic processes that characterizes the time evolution of expected values of functionals of Markov processes, complementary to the Fokker–Planck (forward) equation.
-
E.
Robbins–Monro algorithm
The Robbins–Monro algorithm is a foundational stochastic approximation method used to find the roots of functions when observations are corrupted by noise, forming the basis for many modern optimization and learning techniques.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f07fa8481908b2535b8fba70b7e |
completed | April 19, 2026, 9:54 p.m. |
Created at: April 10, 2026, 11:46 a.m.