Triple

T16178142
Position Surface form Disambiguated ID Type / Status
Subject Thomas Jessell E392617 entity
Predicate coAuthorOf P2389 FINISHED
Object Principles of Neural Science E1193838 NE FINISHED

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: Principles of Neural Science | Statement: [Thomas Jessell, coAuthorOf, Principles of Neural Science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Principles of Neural Science
Context triple: [Thomas Jessell, coAuthorOf, Principles of Neural Science]
  • A. Principles of Neural Science chosen
    Principles of Neural Science is a foundational textbook that comprehensively explains how the nervous system functions, integrating molecular, cellular, systems, and cognitive neuroscience.
  • B. The Physiology of Nerve Cells
    The Physiology of Nerve Cells is a seminal scientific work by neurophysiologist John Eccles that explores the cellular and biophysical mechanisms underlying nerve cell function and synaptic transmission.
  • C. The Physiology of Synapses
    The Physiology of Synapses is a seminal scientific monograph by neurophysiologist John Eccles that systematically explores the mechanisms of synaptic transmission in the nervous system.
  • D. The Computational Brain
    The Computational Brain is an influential book that explores how principles of computation and neural networks can explain brain function and cognition.
  • E. Biophysics of Computation: Information Processing in Single Neurons
    Biophysics of Computation: Information Processing in Single Neurons is a seminal book that rigorously explains how individual neurons perform complex information processing using biophysical and computational principles.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d87f1d32208190942e4e499a80c18c completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205ab3108190a84fc2dfe61d5044 completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69fffefe4dc08190a6cc43a448ae6554 completed May 10, 2026, 3:43 a.m.
Created at: April 10, 2026, 5:02 a.m.