Triple

T12207600
Position Surface form Disambiguated ID Type / Status
Subject Inception Score E290873 entity
Predicate introducedBy P513 FINISHED
Object Tim Salimans
Tim Salimans is a machine learning researcher known for influential work in generative models and evaluation metrics, including the development of the Inception Score for assessing image generation quality.
E971759 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: Tim Salimans | Statement: [Inception Score, introducedBy, Tim Salimans]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim Salimans
Context triple: [Inception Score, introducedBy, Tim Salimans]
  • A. 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.
  • B. 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.
  • C. 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).
  • D. 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.
  • E. Julian Schrittwieser
    Julian Schrittwieser is a computer scientist and AI researcher known for his work at DeepMind on advanced reinforcement learning and game-playing systems such as AlphaZero.
  • 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: Tim Salimans
Triple: [Inception Score, introducedBy, Tim Salimans]
Generated description
Tim Salimans is a machine learning researcher known for influential work in generative models and evaluation metrics, including the development of the Inception Score for assessing image generation quality.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tim Salimans
Target entity description: Tim Salimans is a machine learning researcher known for influential work in generative models and evaluation metrics, including the development of the Inception Score for assessing image generation quality.
  • A. 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.
  • B. 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.
  • C. 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).
  • D. 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.
  • E. Julian Schrittwieser
    Julian Schrittwieser is a computer scientist and AI researcher known for his work at DeepMind on advanced reinforcement learning and game-playing systems such as AlphaZero.
  • 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_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.
NEDg Description generation batch_69f60f2154c8819081f9cf6f51e5255b completed May 2, 2026, 2:50 p.m.
NED2 Entity disambiguation (via description) batch_69f60fe8c2ec8190af7c69dd17ea75fe completed May 2, 2026, 2:53 p.m.
Created at: April 8, 2026, 9:51 p.m.