Triple

T18016394
Position Surface form Disambiguated ID Type / Status
Subject SqueezeNet E431007 entity
Predicate designedBy P184 FINISHED
Object Khalid Ashraf NE NERFINISHED

How this triple was built (3 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: Khalid Ashraf | Statement: [SqueezeNet, designedBy, Khalid Ashraf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khalid Ashraf
Context triple: [SqueezeNet, designedBy, Khalid Ashraf]
  • A. Arsher Ali
    Arsher Ali is a British actor known for his work in film, television, and theatre, including roles in projects such as the horror film "The Ritual."
  • B. Khalil Mirza
    Khalil Mirza was a historical figure of the Aq Qoyunlu dynasty, known primarily as a son of the Turkmen ruler Uzun Hasan.
  • C. Moeed Yusuf
    Moeed Yusuf is a Pakistani academic and policy expert who has served as the country’s National Security Adviser, focusing on strategic, security, and foreign policy issues.
  • D. Salman Amin Khan
    Salman Amin Khan is an American educator and entrepreneur best known as the founder of Khan Academy, a nonprofit organization providing free online educational resources worldwide.
  • E. Shehzad Khan
    Shehzad Khan is an Indian film and television actor best known for his supporting and comic roles in Hindi cinema, including the classic romance "Qayamat Se Qayamat Tak."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Khalid Ashraf
Target entity description: Khalid Ashraf is a computer scientist and deep learning researcher known for co-designing the efficient convolutional neural network architecture SqueezeNet.
  • A. Arsher Ali
    Arsher Ali is a British actor known for his work in film, television, and theatre, including roles in projects such as the horror film "The Ritual."
  • B. Khalil Mirza
    Khalil Mirza was a historical figure of the Aq Qoyunlu dynasty, known primarily as a son of the Turkmen ruler Uzun Hasan.
  • C. Moeed Yusuf
    Moeed Yusuf is a Pakistani academic and policy expert who has served as the country’s National Security Adviser, focusing on strategic, security, and foreign policy issues.
  • D. Salman Amin Khan
    Salman Amin Khan is an American educator and entrepreneur best known as the founder of Khan Academy, a nonprofit organization providing free online educational resources worldwide.
  • E. Shehzad Khan
    Shehzad Khan is an Indian film and television actor best known for his supporting and comic roles in Hindi cinema, including the classic romance "Qayamat Se Qayamat Tak."
  • F. None of above. chosen

Provenance (2 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b523f588819097389e067dda7f23 completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.