Triple
T13183518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanford Graduate School of Education |
E313786
|
entity |
| Predicate | hasResearchCenter |
P40
|
FINISHED |
| Object |
Stanford Center for Learning Analytics
The Stanford Center for Learning Analytics is a research hub at Stanford University focused on using data and computational methods to understand and improve teaching and learning.
|
E1026747
|
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: Stanford Center for Learning Analytics | Statement: [Stanford Graduate School of Education, hasResearchCenter, Stanford Center for Learning Analytics]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stanford Center for Learning Analytics Context triple: [Stanford Graduate School of Education, hasResearchCenter, Stanford Center for Learning Analytics]
-
A.
Berkeley Institute for Data Science
The Berkeley Institute for Data Science is an interdisciplinary research and education center at UC Berkeley that advances data-intensive discovery across the sciences, engineering, and the humanities.
-
B.
UC Berkeley ASPIRE Lab
UC Berkeley ASPIRE Lab is a research group at the University of California, Berkeley focused on advancing computer architecture and systems, particularly open and energy-efficient computing platforms.
-
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.
Center for Social Impact Learning
The Center for Social Impact Learning is a Middlebury Institute hub focused on education, research, and practical training in social entrepreneurship and impact investing.
-
E.
Stanford Graduate School of Education
Stanford Graduate School of Education is a leading graduate school at Stanford University known for its research and professional training in education, learning sciences, and education 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: Stanford Center for Learning Analytics Triple: [Stanford Graduate School of Education, hasResearchCenter, Stanford Center for Learning Analytics]
Generated description
The Stanford Center for Learning Analytics is a research hub at Stanford University focused on using data and computational methods to understand and improve teaching and learning.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stanford Center for Learning Analytics Target entity description: The Stanford Center for Learning Analytics is a research hub at Stanford University focused on using data and computational methods to understand and improve teaching and learning.
-
A.
Berkeley Institute for Data Science
The Berkeley Institute for Data Science is an interdisciplinary research and education center at UC Berkeley that advances data-intensive discovery across the sciences, engineering, and the humanities.
-
B.
UC Berkeley ASPIRE Lab
UC Berkeley ASPIRE Lab is a research group at the University of California, Berkeley focused on advancing computer architecture and systems, particularly open and energy-efficient computing platforms.
-
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.
Center for Social Impact Learning
The Center for Social Impact Learning is a Middlebury Institute hub focused on education, research, and practical training in social entrepreneurship and impact investing.
-
E.
Stanford Graduate School of Education
Stanford Graduate School of Education is a leading graduate school at Stanford University known for its research and professional training in education, learning sciences, and education 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c4a0b0081908027bf77442ff5ff |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5f307408190afd0df16a417c456 |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f707d9e48190b772520ca9f4ac2c |
completed | May 3, 2026, 7:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f8530a048190b448c50bfa52c057 |
completed | May 3, 2026, 7:25 a.m. |
Created at: April 9, 2026, 9:15 p.m.