Triple
T18200402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judea Pearl |
E435765
|
entity |
| Predicate | academicDepartment |
P589
|
FINISHED |
| Object | Department of Statistics, UCLA |
—
|
NE NERFINISHED |
How this triple was built (3 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, UCLA | Statement: [Judea Pearl, academicDepartment, Department of Statistics, UCLA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Statistics, UCLA Context triple: [Judea Pearl, academicDepartment, Department of Statistics, UCLA]
-
A.
Department of Statistics (UC Berkeley)
The Department of Statistics at UC Berkeley is a leading academic department renowned for its pioneering research and education in statistics, probability, and data science.
-
B.
Department of Statistics, University of Chicago
The Department of Statistics at the University of Chicago is a leading academic department renowned for its research and teaching in theoretical and applied statistics and data science.
-
C.
Stanford University Department of Statistics
The Stanford University Department of Statistics is a leading academic department renowned for its research and teaching in probability, statistics, and data science.
-
D.
Department of Statistics (Purdue University)
The Department of Statistics at Purdue University is a leading academic department known for its research and education in statistical theory, methodology, and applications across diverse scientific fields.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Statistics, UCLA Target entity description: The Department of Statistics at UCLA is a leading academic unit known for its influential research and teaching in statistical theory, methods, and applications, particularly in areas such as causal inference and machine learning.
-
A.
Department of Statistics (UC Berkeley)
The Department of Statistics at UC Berkeley is a leading academic department renowned for its pioneering research and education in statistics, probability, and data science.
-
B.
Department of Statistics, University of Chicago
The Department of Statistics at the University of Chicago is a leading academic department renowned for its research and teaching in theoretical and applied statistics and data science.
-
C.
Stanford University Department of Statistics
The Stanford University Department of Statistics is a leading academic department renowned for its research and teaching in probability, statistics, and data science.
-
D.
Department of Statistics (Purdue University)
The Department of Statistics at Purdue University is a leading academic department known for its research and education in statistical theory, methodology, and applications across diverse scientific fields.
-
E.
Department of Statistics
The Department of Statistics is an academic unit within Rice University's George R. Brown School of Engineering that focuses on education and research in statistical theory, methods, and applications.
- F. None of above. chosen
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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d610f88190b4f69b1c433ea6b1 |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:31 a.m.