Triple

T11003308
Position Surface form Disambiguated ID Type / Status
Subject Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation E260052 entity
Predicate author P4 FINISHED
Object Dzmitry Bahdanau
Dzmitry Bahdanau is a computer scientist best known for pioneering the neural attention mechanism in sequence-to-sequence models, which transformed neural machine translation and modern deep learning.
E899028 NE FINISHED

How this triple was built (4 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: Dzmitry Bahdanau | Statement: [Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation, author, Dzmitry Bahdanau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dzmitry Bahdanau
Context triple: [Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation, author, Dzmitry Bahdanau]
  • A. Jakob Uszkoreit
    Jakob Uszkoreit is a computer scientist and AI researcher best known as one of the co-authors of the seminal "Attention Is All You Need" paper that introduced the Transformer architecture.
  • B. Volodymyr Mnih
    Volodymyr Mnih is a computer scientist and deep learning researcher known for pioneering deep reinforcement learning methods that achieved human-level performance on Atari games.
  • C. Ilya Sutskever
    Ilya Sutskever is a leading artificial intelligence researcher and co-founder of OpenAI, known for his pioneering work in deep learning and neural networks.
  • D. Tomas Mikolov
    Tomas Mikolov is a computer scientist and researcher best known for developing the word2vec algorithm and contributing foundational work to neural language models and distributed word representations.
  • E. Ruslan Salakhutdinov
    Ruslan Salakhutdinov is a prominent machine learning researcher known for his contributions to deep learning and probabilistic graphical models, and for serving as Director of AI Research at Apple and a professor at Carnegie Mellon University.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dzmitry Bahdanau
Triple: [Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation, author, Dzmitry Bahdanau]
Generated description
Dzmitry Bahdanau is a computer scientist best known for pioneering the neural attention mechanism in sequence-to-sequence models, which transformed neural machine translation and modern deep learning.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dzmitry Bahdanau
Target entity description: Dzmitry Bahdanau is a computer scientist best known for pioneering the neural attention mechanism in sequence-to-sequence models, which transformed neural machine translation and modern deep learning.
  • A. Jakob Uszkoreit
    Jakob Uszkoreit is a computer scientist and AI researcher best known as one of the co-authors of the seminal "Attention Is All You Need" paper that introduced the Transformer architecture.
  • B. Volodymyr Mnih
    Volodymyr Mnih is a computer scientist and deep learning researcher known for pioneering deep reinforcement learning methods that achieved human-level performance on Atari games.
  • C. Ilya Sutskever
    Ilya Sutskever is a leading artificial intelligence researcher and co-founder of OpenAI, known for his pioneering work in deep learning and neural networks.
  • D. Tomas Mikolov
    Tomas Mikolov is a computer scientist and researcher best known for developing the word2vec algorithm and contributing foundational work to neural language models and distributed word representations.
  • E. Ruslan Salakhutdinov
    Ruslan Salakhutdinov is a prominent machine learning researcher known for his contributions to deep learning and probabilistic graphical models, and for serving as Director of AI Research at Apple and a professor at Carnegie Mellon University.
  • F. None of above. chosen

Provenance (5 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_69d6aa8a6a548190a750f944ccdc8064 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797546f448190946ee6442d657dc5 completed April 9, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3453d181081908cb58a957f4d1295 completed April 18, 2026, 8:47 a.m.
NEDg Description generation batch_69e35570b0bc8190a939b0c8e3ce8105 completed April 18, 2026, 9:57 a.m.
NED2 Entity disambiguation (via description) batch_69e359508a388190a16d48a17015e13e completed April 18, 2026, 10:13 a.m.
Created at: April 8, 2026, 9:25 p.m.