Triple

T19634110
Position Surface form Disambiguated ID Type / Status
Subject Tom B. Brown E471343 entity
Predicate coAuthorWith P398 FINISHED
Object Dario Amodei 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: Dario Amodei | Statement: [Tom B. Brown, coAuthorWith, Dario Amodei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dario Amodei
Context triple: [Tom B. Brown, coAuthorWith, Dario Amodei]
  • A. Dario Amodei chosen
    Dario Amodei is an AI researcher and entrepreneur, co-founder and CEO of Anthropic and former OpenAI research leader known for his work on large language models and AI safety.
  • B. Mark Dredze
    Mark Dredze is a computer scientist and researcher known for his work in natural language processing, machine learning, and applications of AI to public health and social media analysis.
  • C. Percy Liang
    Percy Liang is a prominent computer scientist and Stanford professor known for his research in natural language processing, machine learning, and the safety and alignment of AI systems.
  • D. John Giannandrea
    John Giannandrea is a prominent computer scientist and technology executive known for leading artificial intelligence and machine learning efforts at major tech companies, including Apple.
  • E. Pieter Abbeel
    Pieter Abbeel is a Belgian-American computer scientist and professor at UC Berkeley known for his influential work in robotics and deep reinforcement learning.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64104ff2881908fec49b7fba5a2e6 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.