Triple

T18462476
Position Surface form Disambiguated ID Type / Status
Subject Laurent El Ghaoui E451071 entity
Predicate affiliation P10 FINISHED
Object Department of Industrial Engineering and Operations Research, UC Berkeley NE NERFINISHED

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 Industrial Engineering and Operations Research, UC Berkeley | Statement: [Laurent El Ghaoui, affiliation, Department of Industrial Engineering and Operations Research, UC Berkeley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Industrial Engineering and Operations Research, UC Berkeley
Context triple: [Laurent El Ghaoui, affiliation, Department of Industrial Engineering and Operations Research, UC Berkeley]
  • A. Department of Industrial Engineering and Operations Research, UC Berkeley chosen
    The Department of Industrial Engineering and Operations Research at UC Berkeley is a leading academic department specializing in optimization, stochastic processes, data analytics, and systems engineering for complex decision-making in industry and society.
  • B. Department of Electrical Engineering and Computer Sciences, UC Berkeley
    The Department of Electrical Engineering and Computer Sciences at UC Berkeley is a leading academic department renowned for its pioneering research and top-ranked programs in electrical engineering, computer science, and related fields.
  • C. Department of Management Science and Engineering at Stanford University
    The Department of Management Science and Engineering at Stanford University is an interdisciplinary academic department that integrates engineering, business, and policy to study and improve complex systems in areas such as operations, decision analysis, information technology, and organizational strategy.
  • D. Department of Industrial and Operations Engineering (University of Michigan)
    The Department of Industrial and Operations Engineering at the University of Michigan is an academic department specializing in the study and advancement of industrial engineering, operations research, and related optimization and decision-making methodologies.
  • E. Department of Mechanical Engineering, UC Berkeley
    The Department of Mechanical Engineering at UC Berkeley is a leading academic department renowned for its research and education in mechanical engineering and related fields.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e52a80a2bc81909ec14811577a311d completed April 19, 2026, 7:18 p.m.
Created at: April 10, 2026, 11:33 a.m.