Triple

T516116
Position Surface form Disambiguated ID Type / Status
Subject ACM Prize in Computing E10710 entity
Predicate notableRecipient P108 FINISHED
Object Sanjam Garg
Sanjam Garg is a prominent computer scientist known for his influential work in cryptography, particularly in constructing indistinguishability obfuscation and other foundational cryptographic primitives.
E64552 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: Sanjam Garg | Statement: [ACM Prize in Computing, notableRecipient, Sanjam Garg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sanjam Garg
Context triple: [ACM Prize in Computing, notableRecipient, Sanjam Garg]
  • A. Rajat Monga
    Rajat Monga is a computer scientist and engineer best known as a co-creator and early lead of TensorFlow at Google Brain.
  • B. Sanjiv Singh
    Sanjiv Singh is a robotics researcher and professor known for his work in autonomous systems and field robotics at Carnegie Mellon University.
  • C. Neal Mohan
    Neal Mohan is an Indian-American technology executive and digital advertising expert who serves as the CEO of YouTube.
  • D. Vijay Kumar
    Vijay Kumar is a prominent roboticist and engineer known for his pioneering work in multi-robot systems and aerial robotics.
  • E. Pradip Krishen
    Pradip Krishen is an Indian filmmaker-turned-environmentalist and naturalist known for his documentaries and influential work on urban ecology and tree mapping in India.
  • 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: Sanjam Garg
Triple: [ACM Prize in Computing, notableRecipient, Sanjam Garg]
Generated description
Sanjam Garg is a prominent computer scientist known for his influential work in cryptography, particularly in constructing indistinguishability obfuscation and other foundational cryptographic primitives.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sanjam Garg
Target entity description: Sanjam Garg is a prominent computer scientist known for his influential work in cryptography, particularly in constructing indistinguishability obfuscation and other foundational cryptographic primitives.
  • A. Rajat Monga
    Rajat Monga is a computer scientist and engineer best known as a co-creator and early lead of TensorFlow at Google Brain.
  • B. Sanjiv Singh
    Sanjiv Singh is a robotics researcher and professor known for his work in autonomous systems and field robotics at Carnegie Mellon University.
  • C. Neal Mohan
    Neal Mohan is an Indian-American technology executive and digital advertising expert who serves as the CEO of YouTube.
  • D. Vijay Kumar
    Vijay Kumar is a prominent roboticist and engineer known for his pioneering work in multi-robot systems and aerial robotics.
  • E. Pradip Krishen
    Pradip Krishen is an Indian filmmaker-turned-environmentalist and naturalist known for his documentaries and influential work on urban ecology and tree mapping in India.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f184c3a481909bf60bb627b0ea88 completed Feb. 28, 2026, 1:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4a42a4a648190a1a01d823b698ae3 completed March 1, 2026, 8:40 p.m.
NEDg Description generation batch_69a4a492d2d08190945f9b5bd1e8dfa5 completed March 1, 2026, 8:41 p.m.
NED2 Entity disambiguation (via description) batch_69a4a52e4ae081909f880462479fc51f completed March 1, 2026, 8:44 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.