Triple

T15498585
Position Surface form Disambiguated ID Type / Status
Subject Sara Kiesler E378888 entity
Predicate workInstitution P1203 FINISHED
Object Department of Social and Decision Sciences at Carnegie Mellon University E672681 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: Department of Social and Decision Sciences at Carnegie Mellon University | Statement: [Sara Kiesler, workInstitution, Department of Social and Decision Sciences at Carnegie Mellon University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Social and Decision Sciences at Carnegie Mellon University
Context triple: [Sara Kiesler, workInstitution, Department of Social and Decision Sciences at Carnegie Mellon University]
  • A. Department of Social and Decision Sciences chosen
    The Department of Social and Decision Sciences is an interdisciplinary academic unit at Carnegie Mellon University that focuses on the study of human behavior, decision-making, and public policy using methods from psychology, economics, and related social sciences.
  • B. Department of Psychology, Carnegie Mellon University
    The Department of Psychology at Carnegie Mellon University is a leading research and teaching department known for its strengths in cognitive psychology, cognitive neuroscience, and interdisciplinary collaborations across fields such as computer science and human-computer interaction.
  • C. 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.
  • D. School of Computer Science at Carnegie Mellon University
    The School of Computer Science at Carnegie Mellon University is a world-renowned academic and research institution recognized for pioneering contributions across computer science, artificial intelligence, robotics, and related fields.
  • E. Department of Engineering and Public Policy (Carnegie Mellon University)
    The Department of Engineering and Public Policy at Carnegie Mellon University is an interdisciplinary academic unit that integrates engineering, social science, and policy analysis to address complex societal and technological challenges.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fb0aee081909db1c54349ec8492 completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3667a53c81908be789f99e580265 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:53 a.m.