Triple
T2169494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deep belief networks |
E46988
|
entity |
| Predicate | developedBy |
P73
|
FINISHED |
| Object | Yee-Whye Teh |
E80657
|
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: Yee-Whye Teh | Statement: [Deep belief networks, developedBy, Yee-Whye Teh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yee-Whye Teh Context triple: [Deep belief networks, developedBy, Yee-Whye Teh]
-
A.
Yee-Whye Teh
chosen
Yee-Whye Teh is a prominent statistician and machine learning researcher known for his influential work on Bayesian nonparametrics, probabilistic modeling, and deep learning.
-
B.
Mung Chiang
Mung Chiang is an engineer and academic leader known for his work in electrical and computer engineering and for serving as president of Purdue University.
-
C.
Tung-Mow Yan
Tung-Mow Yan is a theoretical physicist best known for co-formulating the Drell–Yan process, a fundamental mechanism for lepton pair production in high-energy particle collisions.
-
D.
Yu-Chi Ho
Yu-Chi Ho is a prominent control theorist and engineer known for his pioneering contributions to optimal control, dynamic systems, and game theory.
-
E.
Yeou-Cheng Ma
Yeou-Cheng Ma is a Taiwanese-American pediatrician and violinist known for her work in child development and her contributions to music education.
- 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_69a88a184cbc8190877791f6552c2484 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbeaeb58881908ad34f7b253bac2a |
completed | March 7, 2026, 5:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58f511a08190880fbde8900d59df |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:45 p.m.