Triple
T4424749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICLR |
E95182
|
entity |
| Predicate | coFounder |
P2835
|
FINISHED |
| Object | Aaron Courville |
E28350
|
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: Aaron Courville | Statement: [ICLR, coFounder, Aaron Courville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aaron Courville Context triple: [ICLR, coFounder, Aaron Courville]
-
A.
Aaron Courville
chosen
Aaron Courville is a machine learning researcher and professor best known as a co-author of the influential deep learning textbook alongside Yoshua Bengio and Ian Goodfellow.
-
B.
Eric Thibault
Eric Thibault is a professional basketball coach best known for leading the WNBA’s Washington Mystics.
-
C.
Alex Courtes
Alex Courtes is a French director and designer best known for his innovative music videos and visual work with major rock and electronic artists.
-
D.
Christian LeBlanc
Christian LeBlanc is an American actor best known for his long-running role as Michael Baldwin on the soap opera "The Young and the Restless."
-
E.
Mark Gastineau
Mark Gastineau is a former American football defensive end best known as a star pass rusher for the New York Jets in the 1980s and a key member of the famed "New York Sack Exchange" defensive line.
- 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554ca5208190ba2661616dcf071c |
completed | March 13, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f62f7eb88190a02669845126e790 |
completed | March 14, 2026, 11:58 p.m. |
Created at: March 12, 2026, 11:30 p.m.