Triple
T18724121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noam Shazeer |
E457852
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object | Jakob Uszkoreit |
—
|
NE NERFINISHED |
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: Jakob Uszkoreit | Statement: [Noam Shazeer, coAuthorWith, Jakob Uszkoreit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jakob Uszkoreit Context triple: [Noam Shazeer, coAuthorWith, Jakob Uszkoreit]
-
A.
Jakob Uszkoreit
chosen
Jakob Uszkoreit is a computer scientist and AI researcher best known as one of the co-authors of the seminal "Attention Is All You Need" paper that introduced the Transformer architecture.
-
B.
Tim Salimans
Tim Salimans is a machine learning researcher known for influential work in generative models and evaluation metrics, including the development of the Inception Score for assessing image generation quality.
-
C.
Dzmitry Bahdanau
Dzmitry Bahdanau is a computer scientist best known for pioneering the neural attention mechanism in sequence-to-sequence models, which transformed neural machine translation and modern deep learning.
-
D.
Martin Heusel
Martin Heusel is a researcher in machine learning best known for co-introducing the Fréchet Inception Distance (FID), a widely used metric for evaluating generative models.
-
E.
Ilya Sutskever
Ilya Sutskever is a leading artificial intelligence researcher and co-founder of OpenAI, known for his pioneering work in deep learning and neural networks.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56abcfc048190a01dee959e768768 |
completed | April 19, 2026, 11:52 p.m. |
Created at: April 10, 2026, 11:50 a.m.