Triple

T18205073
Position Surface form Disambiguated ID Type / Status
Subject DeiT E435881 entity
Predicate firstAuthor P12787 FINISHED
Object Hugo Touvron
Hugo Touvron is a machine learning researcher known for his work on vision transformers and efficient deep learning models in computer vision.
E1312471 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: Hugo Touvron | Statement: [DeiT, firstAuthor, Hugo Touvron]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hugo Touvron
Context triple: [DeiT, firstAuthor, Hugo Touvron]
  • A. Pascal Vincent
    Pascal Vincent is a Canadian professional ice hockey coach known for serving as head coach of the NHL’s Columbus Blue Jackets and for his extensive coaching career in junior and professional hockey.
  • B. Olivier Douyère
    Olivier Douyère is a French screenwriter best known for co-writing the thriller film "Tell No One," adapted from Harlan Coben’s novel.
  • C. Adrien Treuille
    Adrien Treuille is a computer scientist and entrepreneur best known as the co-founder of Streamlit, an open-source framework for building data and machine learning web apps.
  • D. Xavier Grobet
    Xavier Grobet is a Mexican cinematographer known for his work on both independent and mainstream films, including the romantic comedy-drama "Enough Said."
  • E. Pierre Sermanet
    Pierre Sermanet is a computer scientist and researcher known for his contributions to deep learning and computer vision, including work on convolutional neural networks at Google/DeepMind.
  • 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: Hugo Touvron
Triple: [DeiT, firstAuthor, Hugo Touvron]
Generated description
Hugo Touvron is a machine learning researcher known for his work on vision transformers and efficient deep learning models in computer vision.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hugo Touvron
Target entity description: Hugo Touvron is a machine learning researcher known for his work on vision transformers and efficient deep learning models in computer vision.
  • A. Pascal Vincent
    Pascal Vincent is a Canadian professional ice hockey coach known for serving as head coach of the NHL’s Columbus Blue Jackets and for his extensive coaching career in junior and professional hockey.
  • B. Olivier Douyère
    Olivier Douyère is a French screenwriter best known for co-writing the thriller film "Tell No One," adapted from Harlan Coben’s novel.
  • C. Adrien Treuille
    Adrien Treuille is a computer scientist and entrepreneur best known as the co-founder of Streamlit, an open-source framework for building data and machine learning web apps.
  • D. Xavier Grobet
    Xavier Grobet is a Mexican cinematographer known for his work on both independent and mainstream films, including the romantic comedy-drama "Enough Said."
  • E. Pierre Sermanet
    Pierre Sermanet is a computer scientist and researcher known for his contributions to deep learning and computer vision, including work on convolutional neural networks at Google/DeepMind.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e222831081908f7d5500424e3acb completed April 19, 2026, 2:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a039f0e52108190913cc5c667619d89 completed May 12, 2026, 9:43 p.m.
NEDg Description generation batch_6a039fdd9c4c819083b450657d0ece43 completed May 12, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a03a0d6de8c8190b1f94c7de0856143 completed May 12, 2026, 9:51 p.m.
Created at: April 10, 2026, 10:32 a.m.