Triple

T12207665
Position Surface form Disambiguated ID Type / Status
Subject Fréchet Inception Distance E290874 entity
Predicate introducedBy P513 FINISHED
Object Sepp Hochreiter E736829 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: Sepp Hochreiter | Statement: [Fréchet Inception Distance, introducedBy, Sepp Hochreiter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sepp Hochreiter
Context triple: [Fréchet Inception Distance, introducedBy, Sepp Hochreiter]
  • A. Sepp Hochreiter chosen
    Sepp Hochreiter is an Austrian computer scientist best known as a co-inventor of Long Short-Term Memory (LSTM) networks and a pioneer in deep learning and recurrent neural networks.
  • B. Jürgen Schmidhuber
    Jürgen Schmidhuber is a German computer scientist and AI researcher best known for his pioneering work on neural networks and the co-invention of Long Short-Term Memory (LSTM) networks.
  • C. David E. Rumelhart
    David E. Rumelhart was a pioneering cognitive psychologist and neural network researcher whose work on parallel distributed processing and backpropagation profoundly shaped modern cognitive science and machine learning.
  • D. John Hopfield
    John Hopfield is an American physicist and neuroscientist best known for introducing the Hopfield network, a pioneering model in neural networks and computational neuroscience.
  • E. Martin Riedmiller
    Martin Riedmiller is a German computer scientist and pioneer in deep reinforcement learning, known for his influential work on neural-network-based control and contributions to landmark deep RL systems.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c7d8f5c8190a46e9caa2a920fa9 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a9d2f0c81908352cd9f0167c6ab completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:51 p.m.