Triple

T3394504
Position Surface form Disambiguated ID Type / Status
Subject Michael Woodford E71495 entity
Predicate affiliation P10 FINISHED
Object Department of Economics, Columbia University
The Department of Economics at Columbia University is a leading academic center for economic research and graduate and undergraduate education, known for its influential faculty and contributions to macroeconomics, econometrics, and economic theory.
E354933 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 Economics, Columbia University | Statement: [Michael Woodford, affiliation, Department of Economics, Columbia University]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Department of Economics, Columbia University
Context triple: [Michael Woodford, affiliation, Department of Economics, Columbia University]
  • A. Stanford University Department of Economics
    The Stanford University Department of Economics is a leading academic department known for its influential research and teaching in economics, particularly in macroeconomics, economic theory, and applied economics.
  • B. Department of Economics
    The Department of Economics at the University of Warwick is a leading UK academic department known for its research-intensive environment and high-quality teaching in economics and related fields.
  • C. Department of Economics
    The Department of Economics at Royal Holloway, University of London is an academic unit focused on teaching and research in economics within the college’s social sciences faculty.
  • D. Department of Economics
    The Department of Economics is an academic unit of Gauhati University dedicated to teaching and research in economics and related fields.
  • E. Department of Economics
    The Department of Economics at Quaid-i-Azam University is an academic unit that offers teaching and research programs in economics, focusing on economic theory, policy, and applied economic analysis.
  • 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 Economics, Columbia University
Triple: [Michael Woodford, affiliation, Department of Economics, Columbia University]
Generated description
The Department of Economics at Columbia University is a leading academic center for economic research and graduate and undergraduate education, known for its influential faculty and contributions to macroeconomics, econometrics, and economic theory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Department of Economics, Columbia University
Target entity description: The Department of Economics at Columbia University is a leading academic center for economic research and graduate and undergraduate education, known for its influential faculty and contributions to macroeconomics, econometrics, and economic theory.
  • A. Stanford University Department of Economics
    The Stanford University Department of Economics is a leading academic department known for its influential research and teaching in economics, particularly in macroeconomics, economic theory, and applied economics.
  • B. Department of Economics
    The Department of Economics at the University of Warwick is a leading UK academic department known for its research-intensive environment and high-quality teaching in economics and related fields.
  • C. Department of Economics
    The Department of Economics at Royal Holloway, University of London is an academic unit focused on teaching and research in economics within the college’s social sciences faculty.
  • D. Department of Economics
    The Department of Economics is an academic unit of Gauhati University dedicated to teaching and research in economics and related fields.
  • E. Department of Economics
    The Department of Economics at St. Stephen's College, University of Delhi, is a leading Indian academic department known for its rigorous economics curriculum and distinguished alumni in academia, policy, and industry.
  • 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_69ad85a9c4a88190a854019341cb3b60 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb85487088190b8a4ec546ff8a461 completed March 8, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b34bc8a75c8190ab4f652272d33576 completed March 12, 2026, 11:27 p.m.
NEDg Description generation batch_69b34e46b2b48190aedee8dabf5285bd completed March 12, 2026, 11:37 p.m.
NED2 Entity disambiguation (via description) batch_69b34fc0b830819082b50ebd14b6490b completed March 12, 2026, 11:44 p.m.
Created at: March 8, 2026, 3:14 p.m.