Triple

T18266822
Position Surface form Disambiguated ID Type / Status
Subject Stuart Russell E437504 entity
Predicate name P16 FINISHED
Object Stuart Russell 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: Stuart Russell | Statement: [Stuart Russell, name, Stuart Russell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stuart Russell
Context triple: [Stuart Russell, name, Stuart Russell]
  • A. Stuart Russell chosen
    Stuart Russell is a leading artificial intelligence researcher and co-author of the seminal textbook "Artificial Intelligence: A Modern Approach," known for his influential work on AI theory, ethics, and safety.
  • B. Andrew B. Moore
    Andrew B. Moore was an American politician who served as governor of Alabama in the years leading up to and during the early part of the Civil War.
  • C. Rodney Brooks
    Rodney Brooks is an influential roboticist and AI researcher known for pioneering behavior-based robotics and co-founding iRobot and Rethink Robotics.
  • D. Richard Sutton
    Richard Sutton was a prominent early 16th-century English lawyer and benefactor best known for co-founding Brasenose College at the University of Oxford.
  • E. Michael L. Littman
    Michael L. Littman is an American computer scientist and professor known for his influential research in reinforcement learning, machine learning, and artificial intelligence.
  • 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_69d8b913351c8190932b6a426de04b41 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ff7af85c81909859e7247738a535 completed April 19, 2026, 4:14 p.m.
Created at: April 10, 2026, 10:34 a.m.