Triple

T1778784
Position Surface form Disambiguated ID Type / Status
Subject Leonard Adleman E39240 entity
Predicate positionHeld P8 FINISHED
Object Henry Salvatori Chair in Computer Science
The Henry Salvatori Chair in Computer Science is an endowed academic professorship in computer science, notably held by cryptographer Leonard Adleman.
 E199751 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: Henry Salvatori Chair in Computer Science | Statement: [Leonard Adleman, positionHeld, Henry Salvatori Chair in Computer Science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Henry Salvatori Chair in Computer Science
Context triple: [Leonard Adleman, positionHeld, Henry Salvatori Chair in Computer Science]
  • A. Schlumberger Centennial Chair in Computer Sciences
    The Schlumberger Centennial Chair in Computer Sciences is a prestigious endowed professorship at the University of Texas at Austin, known for having been held by pioneering computer scientist Edsger W. Dijkstra.
  • B. David R. Cheriton School of Computer Science
    The David R. Cheriton School of Computer Science is the University of Waterloo’s primary computer science school, recognized for its strong research output and influential contributions to software, systems, and theoretical computer science.
  • C. Monica S. Lam
    Monica S. Lam is a computer scientist and professor known for her influential work in compilers, programming languages, and software systems.
  • D. Computer Science Department, Carnegie Mellon University
    The Computer Science Department at Carnegie Mellon University is a core academic unit renowned for pioneering research and education in computer science within CMU’s School of Computer Science.
  • E. Peter J. Denning
    Peter J. Denning is an American computer scientist renowned for his foundational work in operating systems, particularly virtual memory, and for his leadership in advancing the science and practice of computing.
  • 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: Henry Salvatori Chair in Computer Science
Triple: [Leonard Adleman, positionHeld, Henry Salvatori Chair in Computer Science]
Generated description
The Henry Salvatori Chair in Computer Science is an endowed academic professorship in computer science, notably held by cryptographer Leonard Adleman.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Henry Salvatori Chair in Computer Science
Target entity description: The Henry Salvatori Chair in Computer Science is an endowed academic professorship in computer science, notably held by cryptographer Leonard Adleman.
  • A. Schlumberger Centennial Chair in Computer Sciences
    The Schlumberger Centennial Chair in Computer Sciences is a prestigious endowed professorship at the University of Texas at Austin, known for having been held by pioneering computer scientist Edsger W. Dijkstra.
  • B. David R. Cheriton School of Computer Science
    The David R. Cheriton School of Computer Science is the University of Waterloo’s primary computer science school, recognized for its strong research output and influential contributions to software, systems, and theoretical computer science.
  • C. Monica S. Lam
    Monica S. Lam is a computer scientist and professor known for her influential work in compilers, programming languages, and software systems.
  • D. Computer Science Department, Carnegie Mellon University
    The Computer Science Department at Carnegie Mellon University is a core academic unit renowned for pioneering research and education in computer science within CMU’s School of Computer Science.
  • E. Peter J. Denning
    Peter J. Denning is an American computer scientist renowned for his foundational work in operating systems, particularly virtual memory, and for his leadership in advancing the science and practice of computing.
  • 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_69a88630519c8190a17addd83c4a3ef4 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa64ba92a48190b69da748dfbfc53c completed March 6, 2026, 5:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada99d12f88190a9daec1b7dd64e67 completed March 8, 2026, 4:53 p.m.
NEDg Description generation batch_69adab03a5448190b42966adcd8afbde completed March 8, 2026, 4:59 p.m.
NED2 Entity disambiguation (via description) batch_69adaeaf81e881908f99f5d948e3557b completed March 8, 2026, 5:15 p.m.
Created at: March 4, 2026, 7:31 p.m.