Triple

T14016789
Position Surface form Disambiguated ID Type / Status
Subject PFC Krylia Sovetov Samara E337223 entity
Predicate manager P2962 FINISHED
Object Igor Osinkin
Igor Osinkin is a Russian football coach known for managing PFC Krylia Sovetov Samara in the Russian Premier League.
E1073330 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: Igor Osinkin | Statement: [PFC Krylia Sovetov Samara, manager, Igor Osinkin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Igor Osinkin
Context triple: [PFC Krylia Sovetov Samara, manager, Igor Osinkin]
  • A. 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.
  • 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. Ilya Goodfellow
    Ilya Goodfellow is a machine learning researcher best known for inventing Generative Adversarial Networks (GANs) and contributing to deep learning at organizations like Google and OpenAI.
  • E. Nicolas Heess
    Nicolas Heess is a machine learning researcher known for his work in deep reinforcement learning, including contributions to algorithms such as Deep Deterministic Policy Gradient (DDPG).
  • 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: Igor Osinkin
Triple: [PFC Krylia Sovetov Samara, manager, Igor Osinkin]
Generated description
Igor Osinkin is a Russian football coach known for managing PFC Krylia Sovetov Samara in the Russian Premier League.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Igor Osinkin
Target entity description: Igor Osinkin is a Russian football coach known for managing PFC Krylia Sovetov Samara in the Russian Premier League.
  • A. 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.
  • 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. Ilya Goodfellow
    Ilya Goodfellow is a machine learning researcher best known for inventing Generative Adversarial Networks (GANs) and contributing to deep learning at organizations like Google and OpenAI.
  • E. Nicolas Heess
    Nicolas Heess is a machine learning researcher known for his work in deep reinforcement learning, including contributions to algorithms such as Deep Deterministic Policy Gradient (DDPG).
  • 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_69d81c6543a48190bd5ba93d7419e797 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2f396b648190927e5718c3bb6511 completed April 14, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbacad948c81909db7187da5a9b97d completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbae186bb881908ea17ae6b12825af completed May 6, 2026, 9:09 p.m.
NED2 Entity disambiguation (via description) batch_69fbaebaab508190a609fa151c686a0d completed May 6, 2026, 9:12 p.m.
Created at: April 9, 2026, 10:19 p.m.