Triple
T18016546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RetinaNet |
E431010
|
entity |
| Predicate | hasAuthor |
P4244
|
FINISHED |
| Object | Tsung-Yi Lin |
—
|
NE NERFINISHED |
How this triple was built (3 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: Tsung-Yi Lin | Statement: [RetinaNet, hasAuthor, Tsung-Yi Lin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsung-Yi Lin Context triple: [RetinaNet, hasAuthor, Tsung-Yi Lin]
-
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.
Cho-Liang Lin
Cho-Liang Lin is a Taiwanese-American violinist renowned for his virtuosity, lyrical tone, and international solo career, including acclaimed performances with major orchestras and extensive recordings.
-
C.
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.
-
D.
Hsu Yung-chang
Hsu Yung-chang was a Chinese military representative who took part in formalizing Japan’s World War II surrender by signing the Japanese Instrument of Surrender.
-
E.
Paul Jen-kuei Li
Paul Jen-kuei Li is a Taiwanese linguist renowned for his work on Austronesian historical linguistics and the reconstruction of Proto-Austronesian.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tsung-Yi Lin Target entity description: Tsung-Yi Lin is a computer vision researcher known for influential work in object detection and instance segmentation, including co-developing the RetinaNet detector and the COCO dataset.
-
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.
Cho-Liang Lin
Cho-Liang Lin is a Taiwanese-American violinist renowned for his virtuosity, lyrical tone, and international solo career, including acclaimed performances with major orchestras and extensive recordings.
-
C.
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.
-
D.
Hsu Yung-chang
Hsu Yung-chang was a Chinese military representative who took part in formalizing Japan’s World War II surrender by signing the Japanese Instrument of Surrender.
-
E.
Paul Jen-kuei Li
Paul Jen-kuei Li is a Taiwanese linguist renowned for his work on Austronesian historical linguistics and the reconstruction of Proto-Austronesian.
- F. None of above. chosen
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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9be5d0c819097e006f32d98753a |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 10:24 a.m.