Triple

T3984102
Position Surface form Disambiguated ID Type / Status
Subject Phil S. Baran E86827 entity
Predicate notableStudent P4838 FINISHED
Object Neil K. Garg E404827 NE FINISHED

How this triple was built (2 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: Neil K. Garg | Statement: [Phil S. Baran, notableStudent, Neil K. Garg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neil K. Garg
Context triple: [Phil S. Baran, notableStudent, Neil K. Garg]
  • A. Neil K. Garg chosen
    Neil K. Garg is an American organic chemist and UCLA professor renowned for his innovative work in synthetic methodology and chemistry education.
  • B. Sanjay Jain
    Sanjay Jain is an economist recognized for his academic contributions and scholarship associated with the Delhi School of Economics.
  • C. Vikram Adve
    Vikram Adve is a computer scientist best known as a co-creator of the LLVM compiler infrastructure and a professor at the University of Illinois at Urbana-Champaign.
  • D. Kishor S. Trivedi
    Kishor S. Trivedi is a prominent computer scientist known for his pioneering work in reliability engineering, performance evaluation, and stochastic modeling of computer and communication systems.
  • E. Ranjit Singh Narula
    Ranjit Singh Narula was an Indian jurist and civil servant who served in high constitutional positions, including as a state governor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69aed93fd9d4819085d3b2137d2346cb completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9de58d48190969f354a1bf0df94 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54c4a769c819097fb9bfd5890a4f9 completed March 14, 2026, 11:53 a.m.
Created at: March 9, 2026, 3:33 p.m.