Triple

T18237100
Position Surface form Disambiguated ID Type / Status
Subject Machine Intelligence Research Institute E436709 entity
Predicate notableResearcher P22 FINISHED
Object Eliezer Yudkowsky 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: Eliezer Yudkowsky | Statement: [Machine Intelligence Research Institute, notableResearcher, Eliezer Yudkowsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eliezer Yudkowsky
Context triple: [Machine Intelligence Research Institute, notableResearcher, Eliezer Yudkowsky]
  • A. Eliezer Yudkowsky chosen
    Eliezer Yudkowsky is an American AI researcher and writer best known for his work on artificial general intelligence safety, rationality, and founding the Machine Intelligence Research Institute (MIRI).
  • B. Nate Soares
    Nate Soares is an AI alignment researcher and the executive director of the Machine Intelligence Research Institute, known for his work on the safety and long-term impacts of advanced artificial intelligence.
  • C. Evan Hubinger
    Evan Hubinger is an AI safety researcher known for his work on alignment and interpretability, and as one of the early technical leaders at Anthropic.
  • D. Yuval Tassa
    Yuval Tassa is a researcher in reinforcement learning and control who co-authored the work that introduced the Deep Deterministic Policy Gradient (DDPG) algorithm.
  • E. Zachary Bostrom
    Zachary Bostrom is an American actor known for his work in film and television, including voice roles in animated productions.
  • 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_69d8b91104e08190a8241f7d260a5162 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4f7def3c48190a9a96c8b4911f0f3 completed April 19, 2026, 3:42 p.m.
Created at: April 10, 2026, 10:33 a.m.