Triple

T18629601
Position Surface form Disambiguated ID Type / Status
Subject Arthur Guez E455377 entity
Predicate coAuthorOf P2389 FINISHED
Object Sample-based Search for Optimal Planning in Markov Decision Processes — 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: Sample-based Search for Optimal Planning in Markov Decision Processes | Statement: [Arthur Guez, coAuthorOf, Sample-based Search for Optimal Planning in Markov Decision Processes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sample-based Search for Optimal Planning in Markov Decision Processes
Context triple: [Arthur Guez, coAuthorOf, Sample-based Search for Optimal Planning in Markov Decision Processes]
  • A. Markov decision processes
    Markov decision processes are mathematical frameworks for modeling decision-making in situations where outcomes are partly random and partly under the control of a decision-maker, widely used in reinforcement learning and control theory.
  • B. Monte Carlo tree search chosen
    Monte Carlo tree search is a heuristic search algorithm that uses random sampling of game states to build and explore a search tree, enabling strong decision-making in complex domains like Go and other board games.
  • C. Foundations of a General Theory of Sequential Decision Functions
    Foundations of a General Theory of Sequential Decision Functions is a seminal work in statistics that established the mathematical foundations of sequential analysis and optimal decision-making under uncertainty.
  • D. Generalized Search Tree
    Generalized Search Tree is a flexible, balanced tree data structure framework that supports building custom index types for complex data and queries, often used in database systems.
  • E. Deterministic policy gradient algorithms
    Deterministic policy gradient algorithms are a class of reinforcement learning methods that learn policies with deterministic actions in continuous action spaces by directly optimizing expected returns via gradient-based updates.
  • 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_69e54f06f4a081909b64f33814577488 completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.