Triple
T18205074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DeiT |
E435881
|
entity |
| Predicate | hasAuthor |
P4244
|
FINISHED |
| Object | Hugo Touvron |
—
|
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: Hugo Touvron | Statement: [DeiT, hasAuthor, Hugo Touvron]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugo Touvron Context triple: [DeiT, hasAuthor, Hugo Touvron]
-
A.
Hugo Touvron
chosen
Hugo Touvron is a machine learning researcher known for his work on vision transformers and efficient deep learning models in computer vision.
-
B.
Pascal Vincent
Pascal Vincent is a Canadian professional ice hockey coach known for serving as head coach of the NHL’s Columbus Blue Jackets and for his extensive coaching career in junior and professional hockey.
-
C.
Pascal Vincent
Pascal Vincent is a Canadian computer scientist and deep learning researcher known for his influential work on representation learning and his contributions to the development of modern neural network methods.
-
D.
Olivier Douyère
Olivier Douyère is a French screenwriter best known for co-writing the thriller film "Tell No One," adapted from Harlan Coben’s novel.
-
E.
Adrien Treuille
Adrien Treuille is a computer scientist and entrepreneur best known as the co-founder of Streamlit, an open-source framework for building data and machine learning web apps.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e222831081908f7d5500424e3acb |
completed | April 19, 2026, 2:09 p.m. |
Created at: April 10, 2026, 10:32 a.m.