Triple
T4654804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chris Lattner |
E102382
|
entity |
| Predicate | doctoralThesis |
P6
|
FINISHED |
| Object |
“Macroscopic Data Structure Analysis and Optimization”
“Macroscopic Data Structure Analysis and Optimization” is Chris Lattner’s PhD thesis, in which he develops compiler techniques to analyze and optimize large-scale data structure usage for improved program performance.
|
E457336
|
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: “Macroscopic Data Structure Analysis and Optimization” | Statement: [Chris Lattner, doctoralThesis, “Macroscopic Data Structure Analysis and Optimization”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “Macroscopic Data Structure Analysis and Optimization” Context triple: [Chris Lattner, doctoralThesis, “Macroscopic Data Structure Analysis and Optimization”]
-
A.
The Future of Data Analysis
"The Future of Data Analysis" is a seminal 1962 paper by statistician John W. Tukey that helped define and popularize exploratory data analysis and reshaped modern statistical practice.
-
B.
Data-Driven Discovery Initiative
The Data-Driven Discovery Initiative is a research program that advances scientific discovery by supporting innovative data science methods, tools, and researchers across disciplines.
-
C.
Towards a New Architecture
Towards a New Architecture is a seminal 1923 architectural treatise by Le Corbusier that advocates for modernist design principles grounded in industrialization, functionalism, and new construction technologies.
-
D.
Algorithms + Data Structures = Programs
"Algorithms + Data Structures = Programs" is a classic computer science textbook by Niklaus Wirth that systematically teaches how combining appropriate data structures with algorithms leads to effective and efficient programs.
-
E.
The niche: an abstractly inhabited hypervolume
"The niche: an abstractly inhabited hypervolume" is a seminal ecological paper by G. Evelyn Hutchinson that conceptualizes an organism’s niche as a multidimensional space defined by environmental conditions and resources.
- 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: “Macroscopic Data Structure Analysis and Optimization” Triple: [Chris Lattner, doctoralThesis, “Macroscopic Data Structure Analysis and Optimization”]
Generated description
“Macroscopic Data Structure Analysis and Optimization” is Chris Lattner’s PhD thesis, in which he develops compiler techniques to analyze and optimize large-scale data structure usage for improved program performance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: “Macroscopic Data Structure Analysis and Optimization” Target entity description: “Macroscopic Data Structure Analysis and Optimization” is Chris Lattner’s PhD thesis, in which he develops compiler techniques to analyze and optimize large-scale data structure usage for improved program performance.
-
A.
The Future of Data Analysis
"The Future of Data Analysis" is a seminal 1962 paper by statistician John W. Tukey that helped define and popularize exploratory data analysis and reshaped modern statistical practice.
-
B.
Data-Driven Discovery Initiative
The Data-Driven Discovery Initiative is a research program that advances scientific discovery by supporting innovative data science methods, tools, and researchers across disciplines.
-
C.
Towards a New Architecture
Towards a New Architecture is a seminal 1923 architectural treatise by Le Corbusier that advocates for modernist design principles grounded in industrialization, functionalism, and new construction technologies.
-
D.
Algorithms + Data Structures = Programs
"Algorithms + Data Structures = Programs" is a classic computer science textbook by Niklaus Wirth that systematically teaches how combining appropriate data structures with algorithms leads to effective and efficient programs.
-
E.
The niche: an abstractly inhabited hypervolume
"The niche: an abstractly inhabited hypervolume" is a seminal ecological paper by G. Evelyn Hutchinson that conceptualizes an organism’s niche as a multidimensional space defined by environmental conditions and resources.
- 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6317ba70819089145766d3462e57 |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaef125c819097d79f25608302dc |
completed | March 21, 2026, 1:57 a.m. |
| NEDg | Description generation | batch_69bdfc0964c881909e6b98a1c8ea747f |
completed | March 21, 2026, 2:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfce1be788190ae3418df301e5136 |
completed | March 21, 2026, 2:05 a.m. |
Created at: March 20, 2026, 1:14 p.m.