Triple
T22177730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PDP Research Group |
E548090
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Zoubin Ghahramani |
—
|
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: Zoubin Ghahramani | Statement: [PDP Research Group, hasMember, Zoubin Ghahramani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zoubin Ghahramani Context triple: [PDP Research Group, hasMember, Zoubin Ghahramani]
-
A.
Max Welling
Max Welling is a prominent machine learning researcher known for foundational contributions to probabilistic deep learning and Bayesian inference, including co-developing variational autoencoders.
-
B.
Thore Graepel
Thore Graepel is a German computer scientist and machine learning researcher known for his work at DeepMind on game-playing AI systems and reinforcement learning.
-
C.
Mehryar Mohri
Mehryar Mohri is a computer scientist known for his contributions to machine learning theory, algorithms, and learning theory, including work on support vector machines and statistical learning.
-
D.
Laurens van der Maaten
Laurens van der Maaten is a Dutch computer scientist and machine learning researcher best known for developing the t-SNE dimensionality reduction technique and contributing to deep learning architectures.
-
E.
Andrew B. Moore
Andrew B. Moore was an American politician who served as governor of Alabama in the years leading up to and during the early part of the Civil War.
- 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: Zoubin Ghahramani Target entity description: Zoubin Ghahramani is a prominent machine learning researcher known for his work on probabilistic modeling, Bayesian inference, and artificial intelligence, and for leadership roles in both academia and industry.
-
A.
Max Welling
Max Welling is a prominent machine learning researcher known for foundational contributions to probabilistic deep learning and Bayesian inference, including co-developing variational autoencoders.
-
B.
Thore Graepel
Thore Graepel is a German computer scientist and machine learning researcher known for his work at DeepMind on game-playing AI systems and reinforcement learning.
-
C.
Mehryar Mohri
Mehryar Mohri is a computer scientist known for his contributions to machine learning theory, algorithms, and learning theory, including work on support vector machines and statistical learning.
-
D.
Laurens van der Maaten
Laurens van der Maaten is a Dutch computer scientist and machine learning researcher best known for developing the t-SNE dimensionality reduction technique and contributing to deep learning architectures.
-
E.
Andrew B. Moore
Andrew B. Moore was an American politician who served as governor of Alabama in the years leading up to and during the early part of the Civil War.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6d03488190b29872ff3f436237 |
completed | April 28, 2026, 9:45 p.m. |
Created at: April 16, 2026, 8:34 p.m.