Triple

T14917643
Position Surface form Disambiguated ID Type / Status
Subject Wolfram Schultz E371422 entity
Predicate notableWork P4 FINISHED
Object “Predictive reward signal of dopamine neurons” E1126792 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: “Predictive reward signal of dopamine neurons” | Statement: [Wolfram Schultz, notableWork, “Predictive reward signal of dopamine neurons”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “Predictive reward signal of dopamine neurons”
Context triple: [Wolfram Schultz, notableWork, “Predictive reward signal of dopamine neurons”]
  • A. “A neural substrate of prediction and reward” chosen
    “A neural substrate of prediction and reward” is a highly influential neuroscience paper that elucidates how dopaminergic brain systems encode reward prediction signals fundamental to learning and decision-making.
  • B. “Reward processing in primate orbitofrontal cortex and basal ganglia”
    “Reward processing in primate orbitofrontal cortex and basal ganglia” is a neuroscience research article by Wolfram Schultz that investigates how specific brain regions in primates encode and evaluate reward-related information to guide behavior.
  • C. 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.
  • D. 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.
  • E. Reading in the Brain
    "Reading in the Brain" is a scientific book by cognitive neuroscientist Stanislas Dehaene that explains how the human brain learns to read and what this reveals about language, vision, and learning.
  • 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_69d85cc7ea3481908228b5acb7d06f12 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded62038508190946499cd3552990e completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e86ce888190b03056db39438701 completed May 9, 2026, 12:23 a.m.
Created at: April 10, 2026, 2:32 a.m.