Triple
T18205215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HuBERT |
E435884
|
entity |
| Predicate | hasAuthor |
P4244
|
FINISHED |
| Object |
Wei-Ning Hsu
Wei-Ning Hsu is a researcher in speech and audio processing, known for co-developing the HuBERT self-supervised learning model for speech representation.
|
E1316463
|
NE FINISHED |
How this triple was built (4 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: Wei-Ning Hsu | Statement: [HuBERT, hasAuthor, Wei-Ning Hsu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wei-Ning Hsu Context triple: [HuBERT, hasAuthor, Wei-Ning Hsu]
-
A.
Tung-Yen Lin
Tung-Yen Lin was a pioneering Chinese-American structural engineer renowned for his groundbreaking work in prestressed concrete and major bridge designs worldwide.
-
B.
Chi-lung Shih
Chi-lung Shih is the Wade–Giles romanization of Keelung City, a major port city in northern Taiwan.
-
C.
Fu-Sheng Chiu
Fu-Sheng Chiu is a film producer best known for his work on acclaimed Chinese-language cinema, including the internationally recognized drama "To Live."
-
D.
Ching-Yun Hu
Ching-Yun Hu is a Taiwanese-American concert pianist acclaimed for her international competition successes and performances with major orchestras worldwide.
-
E.
Liang-Chieh Chen
Liang-Chieh Chen is a computer vision and deep learning researcher known for influential work on neural network architectures and efficient models such as MobileNetV2.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Wei-Ning Hsu Triple: [HuBERT, hasAuthor, Wei-Ning Hsu]
Generated description
Wei-Ning Hsu is a researcher in speech and audio processing, known for co-developing the HuBERT self-supervised learning model for speech representation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wei-Ning Hsu Target entity description: Wei-Ning Hsu is a researcher in speech and audio processing, known for co-developing the HuBERT self-supervised learning model for speech representation.
-
A.
Tung-Yen Lin
Tung-Yen Lin was a pioneering Chinese-American structural engineer renowned for his groundbreaking work in prestressed concrete and major bridge designs worldwide.
-
B.
Chi-lung Shih
Chi-lung Shih is the Wade–Giles romanization of Keelung City, a major port city in northern Taiwan.
-
C.
Fu-Sheng Chiu
Fu-Sheng Chiu is a film producer best known for his work on acclaimed Chinese-language cinema, including the internationally recognized drama "To Live."
-
D.
Ching-Yun Hu
Ching-Yun Hu is a Taiwanese-American concert pianist acclaimed for her international competition successes and performances with major orchestras worldwide.
-
E.
Liang-Chieh Chen
Liang-Chieh Chen is a computer vision and deep learning researcher known for influential work on neural network architectures and efficient models such as MobileNetV2.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03bb46f9048190b5d95b32e1a92703 |
completed | May 12, 2026, 11:44 p.m. |
| NEDg | Description generation | batch_6a03bbe8e5148190ac3f0c247455cac0 |
completed | May 12, 2026, 11:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03bc66f81c8190bd47405d92e6547e |
completed | May 12, 2026, 11:48 p.m. |
Created at: April 10, 2026, 10:32 a.m.