Triple

T4024853

Position	Surface form	Disambiguated ID	Type / Status
Subject	Ariel Rubinstein	`E91365`	entity
Predicate	affiliation	`P10`	FINISHED
Object	Department of Economics, New York University The Department of Economics at New York University is a leading academic center for economic research and education, known for its influential faculty and rigorous graduate and undergraduate programs.	`E406758`	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, New York University | Statement: [Ariel Rubinstein, affiliation, Department of Economics, New York University]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Department of Economics, New York University
Context triple: [Ariel Rubinstein, affiliation, Department of Economics, New York University]

A. 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.
B. Department of Economics at Northwestern University
The Department of Economics at Northwestern University is a leading academic center for economic research and education, renowned for its influential faculty, rigorous graduate and undergraduate programs, and significant contributions to modern economic theory and applied economics.
C. 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.
D. University of Chicago Department of Economics
The University of Chicago Department of Economics is a globally influential economics department renowned for its rigorous quantitative approach and for shaping modern economic thought through the “Chicago School” tradition.
E. Department of Economics, University of California, Berkeley
The Department of Economics at the University of California, Berkeley is a leading academic center for economic research and education, renowned for its influential faculty, rigorous programs, and significant contributions to economic theory and policy.
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, New York University
Triple: [Ariel Rubinstein, affiliation, Department of Economics, New York University]

Generated description

The Department of Economics at New York University is a leading academic center for economic research and education, known for its influential faculty and rigorous graduate and undergraduate programs.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Department of Economics, New York University
Target entity description: The Department of Economics at New York University is a leading academic center for economic research and education, known for its influential faculty and rigorous graduate and undergraduate programs.

A. 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.
B. Department of Economics at Northwestern University
The Department of Economics at Northwestern University is a leading academic center for economic research and education, renowned for its influential faculty, rigorous graduate and undergraduate programs, and significant contributions to modern economic theory and applied economics.
C. 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.
D. University of Chicago Department of Economics
The University of Chicago Department of Economics is a globally influential economics department renowned for its rigorous quantitative approach and for shaping modern economic thought through the “Chicago School” tradition.
E. Department of Economics, University of California, Berkeley
The Department of Economics at the University of California, Berkeley is a leading academic center for economic research and education, renowned for its influential faculty, rigorous programs, and significant contributions to economic theory and policy.
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_69aed9618b04819081750d979d2af098`	completed	March 9, 2026, 2:29 p.m.
NER	Named-entity recognition	`batch_69aefacfb23081909a46878adb90ea6c`	completed	March 9, 2026, 4:52 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69b54c84ce9081909ecf3aeee95cb2bf`	completed	March 14, 2026, 11:54 a.m.
NEDg	Description generation	`batch_69b54d076f708190a0d86120d78e8d77`	completed	March 14, 2026, 11:56 a.m.
NED2	Entity disambiguation (via description)	`batch_69b54d5fa6c4819089d190c4cfdb8cd0`	completed	March 14, 2026, 11:58 a.m.

Created at: March 9, 2026, 3:35 p.m.