Triple
T17521541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adrien Treuille |
E426687
|
entity |
| Predicate | notableProject |
P4
|
FINISHED |
| Object | Foldit protein-folding game |
—
|
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: Foldit protein-folding game | Statement: [Adrien Treuille, notableProject, Foldit protein-folding game]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Foldit protein-folding game Context triple: [Adrien Treuille, notableProject, Foldit protein-folding game]
-
A.
AlphaFold
AlphaFold is an artificial intelligence system developed by DeepMind that predicts protein 3D structures from amino acid sequences with unprecedented accuracy, revolutionizing structural biology.
-
B.
CASP (Critical Assessment of protein Structure Prediction)
CASP (Critical Assessment of protein Structure Prediction) is a biennial community-wide experiment and benchmark that objectively evaluates and compares the accuracy of computational methods for predicting protein structures.
-
C.
The O2 complex
The O2 complex is a large entertainment district in London featuring the O2 Arena, cinemas, restaurants, bars, and various leisure and retail facilities housed under the iconic dome structure.
-
D.
Games of Life
Games of Life is a popular science book by Karl Sigmund that explores the mathematics of game theory and its applications to biology, economics, and social behavior.
-
E.
EMBL-EBI AlphaFold Protein Structure Database
The EMBL-EBI AlphaFold Protein Structure Database is a publicly accessible resource providing predicted 3D structures of proteins generated by DeepMind’s AlphaFold system.
- 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: Foldit protein-folding game Target entity description: Foldit is an online puzzle video game that crowdsources protein-folding solutions from players to help advance scientific research in biochemistry and structural biology.
-
A.
AlphaFold
AlphaFold is an artificial intelligence system developed by DeepMind that predicts protein 3D structures from amino acid sequences with unprecedented accuracy, revolutionizing structural biology.
-
B.
CASP (Critical Assessment of protein Structure Prediction)
CASP (Critical Assessment of protein Structure Prediction) is a biennial community-wide experiment and benchmark that objectively evaluates and compares the accuracy of computational methods for predicting protein structures.
-
C.
The O2 complex
The O2 complex is a large entertainment district in London featuring the O2 Arena, cinemas, restaurants, bars, and various leisure and retail facilities housed under the iconic dome structure.
-
D.
Games of Life
Games of Life is a popular science book by Karl Sigmund that explores the mathematics of game theory and its applications to biology, economics, and social behavior.
-
E.
EMBL-EBI AlphaFold Protein Structure Database
The EMBL-EBI AlphaFold Protein Structure Database is a publicly accessible resource providing predicted 3D structures of proteins generated by DeepMind’s AlphaFold system.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d2f79881909556894728e255ab |
completed | April 19, 2026, 3:58 a.m. |
Created at: April 10, 2026, 5:49 a.m.