Triple
T14721073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NeurIPS Test of Time Award |
E345813
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object | Corinna Cortes |
E363686
|
NE FINISHED |
How this triple was built (2 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: Corinna Cortes | Statement: [NeurIPS Test of Time Award, notableRecipient, Corinna Cortes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corinna Cortes Context triple: [NeurIPS Test of Time Award, notableRecipient, Corinna Cortes]
-
A.
Corinna Cortes
chosen
Corinna Cortes is a prominent computer scientist known for her contributions to machine learning and pattern recognition, including co-developing the widely used MNIST dataset and the support vector machine (SVM) framework.
-
B.
Fei-Fei Li
Fei-Fei Li is a prominent computer scientist and AI researcher known for her pioneering work in computer vision and as a leading figure in ethical and human-centered artificial intelligence.
-
C.
Dario Amodei
Dario Amodei is an AI researcher and entrepreneur, co-founder and CEO of Anthropic and former OpenAI research leader known for his work on large language models and AI safety.
-
D.
Ilya Goodfellow
Ilya Goodfellow is a machine learning researcher best known for inventing Generative Adversarial Networks (GANs) and contributing to deep learning at organizations like Google and OpenAI.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d822e5911c8190ba589f957dbd9ba7 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec25d56fc8190871873ca55d49272 |
completed | April 14, 2026, 10:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdf0957bb081908f1f382f3be8ec20 |
completed | May 8, 2026, 2:17 p.m. |
Created at: April 10, 2026, 1:29 a.m.