Triple

T7558432
Position Surface form Disambiguated ID Type / Status
Subject Dietrich College of Humanities and Social Sciences E178731 entity
Predicate hasDepartment P35 FINISHED
Object Department of Statistics and Data Science
The Department of Statistics and Data Science is an academic unit specializing in statistical theory, data analysis, and computational methods within Carnegie Mellon University's Dietrich College of Humanities and Social Sciences.
E672682 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: Department of Statistics and Data Science | Statement: [Dietrich College of Humanities and Social Sciences, hasDepartment, Department of Statistics and Data Science]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Statistics and Data Science
Context triple: [Dietrich College of Humanities and Social Sciences, hasDepartment, Department of Statistics and Data Science]
  • A. Department of Statistical Science
    The Department of Statistical Science is an academic unit specializing in statistics and data analysis within a broader mathematical and physical sciences faculty.
  • B. Department of Statistics
    The Department of Statistics at the National University of Colombia (Bogotá) is an academic unit dedicated to teaching, research, and professional training in statistical science and its applications.
  • C. Department of Statistics
    The Department of Statistics is an academic unit at Cairo University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
  • D. Department of Statistics
    The Department of Statistics at Presidency College, Kolkata is an academic unit specializing in teaching and research in statistical theory and its applications.
  • E. Department of Statistics
    The Department of Statistics is an academic unit specializing in statistical theory, methods, and applications within the Physical Sciences Division.
  • 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: Department of Statistics and Data Science
Triple: [Dietrich College of Humanities and Social Sciences, hasDepartment, Department of Statistics and Data Science]
Generated description
The Department of Statistics and Data Science is an academic unit specializing in statistical theory, data analysis, and computational methods within Carnegie Mellon University's Dietrich College of Humanities and Social Sciences.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Statistics and Data Science
Target entity description: The Department of Statistics and Data Science is an academic unit specializing in statistical theory, data analysis, and computational methods within Carnegie Mellon University's Dietrich College of Humanities and Social Sciences.
  • A. Department of Statistical Science
    The Department of Statistical Science is an academic unit specializing in statistics and data analysis within a broader mathematical and physical sciences faculty.
  • B. Department of Statistics
    The Department of Statistics at the National University of Colombia (Bogotá) is an academic unit dedicated to teaching, research, and professional training in statistical science and its applications.
  • C. Department of Statistics
    The Department of Statistics at Presidency College, Kolkata is an academic unit specializing in teaching and research in statistical theory and its applications.
  • D. Department of Statistics
    The Department of Statistics is an academic unit specializing in statistical theory, methods, and applications within the Physical Sciences Division.
  • E. Department of Statistics
    The Department of Statistics is an academic unit within Alexandria University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
  • 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_69c69f2da22c8190a50942ac20af70e8 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8dc7d288190a0d08ba704cc3fc2 completed March 27, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c856c833288190842c41e9010d56de completed March 28, 2026, 10:31 p.m.
NEDg Description generation batch_69c8575116c481909aa2bebb997e2883 completed March 28, 2026, 10:33 p.m.
NED2 Entity disambiguation (via description) batch_69c857d522dc8190ae3c4734ac428334 completed March 28, 2026, 10:36 p.m.
Created at: March 27, 2026, 3:50 p.m.