Triple

T16246615
Position Surface form Disambiguated ID Type / Status
Subject Jeannette M. Wing E394385 entity
Predicate positionHeld P8 FINISHED
Object Avanessians Director of the Data Science Institute at Columbia University
The Avanessians Director of the Data Science Institute at Columbia University is a senior leadership role overseeing the university’s interdisciplinary research, education, and innovation initiatives in data science.
E1203143 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: Avanessians Director of the Data Science Institute at Columbia University | Statement: [Jeannette M. Wing, positionHeld, Avanessians Director of the Data Science Institute at Columbia University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avanessians Director of the Data Science Institute at Columbia University
Context triple: [Jeannette M. Wing, positionHeld, Avanessians Director of the Data Science Institute at Columbia University]
  • A. Lawrence Gussman Professor of Computer Science at Columbia University
    The Lawrence Gussman Professor of Computer Science at Columbia University is an endowed academic chair in Columbia’s Computer Science Department, notably held by renowned computer scientist Alfred V. Aho.
  • B. Berkeley Institute for Data Science
    The Berkeley Institute for Data Science is an interdisciplinary research and education center at UC Berkeley that advances data-intensive discovery across the sciences, engineering, and the humanities.
  • C. MIT Institute for Data, Systems, and Society
    The MIT Institute for Data, Systems, and Society is an interdisciplinary research and education institute at the Massachusetts Institute of Technology focused on data science, systems engineering, and social science to address complex societal challenges.
  • D. Daphne Koller, CEO
    Daphne Koller is a computer scientist and entrepreneur best known as the co-founder of Coursera and as a leading figure in applying machine learning to drug discovery.
  • E. Daphne Koller
    Daphne Koller is a computer scientist and entrepreneur best known as the co-founder of the online education platform Coursera and for her influential work in probabilistic graphical models and machine learning.
  • 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: Avanessians Director of the Data Science Institute at Columbia University
Triple: [Jeannette M. Wing, positionHeld, Avanessians Director of the Data Science Institute at Columbia University]
Generated description
The Avanessians Director of the Data Science Institute at Columbia University is a senior leadership role overseeing the university’s interdisciplinary research, education, and innovation initiatives in data science.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Avanessians Director of the Data Science Institute at Columbia University
Target entity description: The Avanessians Director of the Data Science Institute at Columbia University is a senior leadership role overseeing the university’s interdisciplinary research, education, and innovation initiatives in data science.
  • A. Lawrence Gussman Professor of Computer Science at Columbia University
    The Lawrence Gussman Professor of Computer Science at Columbia University is an endowed academic chair in Columbia’s Computer Science Department, notably held by renowned computer scientist Alfred V. Aho.
  • B. Berkeley Institute for Data Science
    The Berkeley Institute for Data Science is an interdisciplinary research and education center at UC Berkeley that advances data-intensive discovery across the sciences, engineering, and the humanities.
  • C. MIT Institute for Data, Systems, and Society
    The MIT Institute for Data, Systems, and Society is an interdisciplinary research and education institute at the Massachusetts Institute of Technology focused on data science, systems engineering, and social science to address complex societal challenges.
  • D. Daphne Koller, CEO
    Daphne Koller is a computer scientist and entrepreneur best known as the co-founder of Coursera and as a leading figure in applying machine learning to drug discovery.
  • E. Daphne Koller
    Daphne Koller is a computer scientist and entrepreneur best known as the co-founder of the online education platform Coursera and for her influential work in probabilistic graphical models and machine learning.
  • 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245931074819096f38003da70f271 completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000ee135b881909cc1b6919bc7af29 completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a00132b0ca4819080f45f929ac39eca completed May 10, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_6a00138ca1b48190bd7d79699b9e2114 completed May 10, 2026, 5:11 a.m.
Created at: April 10, 2026, 5:04 a.m.