Triple
T15591344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teng |
E374749
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Teng Yu-lung
Teng Yu-lung is an individual notable for bearing the Chinese surname Teng, though specific widely recognized public achievements or roles are not well documented.
|
E1170001
|
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: Teng Yu-lung | Statement: [Teng, hasNotableBearer, Teng Yu-lung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teng Yu-lung Context triple: [Teng, hasNotableBearer, Teng Yu-lung]
-
A.
Tung Chao-yung
Tung Chao-yung was a prominent Hong Kong shipping magnate and founder of the Orient Overseas shipping empire.
-
B.
Teng Yu-kun
Teng Yu-kun is a Taiwanese film and television director and screenwriter known for his influential work in Mandarin-language cinema and TV dramas.
-
C.
Teng Yu-hsien
Teng Yu-hsien was a pioneering Taiwanese composer often regarded as the father of modern Taiwanese folk and popular music.
-
D.
Weng Wen-hao
Weng Wen-hao was a Chinese geologist and politician who briefly served as premier of the Republic of China during the late stages of the Chinese Civil War.
-
E.
Tai Jeng-wu
Tai Jeng-wu is a Taiwanese business executive best known for leading Sharp Corporation’s turnaround as its president.
- 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: Teng Yu-lung Triple: [Teng, hasNotableBearer, Teng Yu-lung]
Generated description
Teng Yu-lung is an individual notable for bearing the Chinese surname Teng, though specific widely recognized public achievements or roles are not well documented.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teng Yu-lung Target entity description: Teng Yu-lung is an individual notable for bearing the Chinese surname Teng, though specific widely recognized public achievements or roles are not well documented.
-
A.
Tung Chao-yung
Tung Chao-yung was a prominent Hong Kong shipping magnate and founder of the Orient Overseas shipping empire.
-
B.
Teng Yu-kun
Teng Yu-kun is a Taiwanese film and television director and screenwriter known for his influential work in Mandarin-language cinema and TV dramas.
-
C.
Teng Yu-hsien
Teng Yu-hsien was a pioneering Taiwanese composer often regarded as the father of modern Taiwanese folk and popular music.
-
D.
Weng Wen-hao
Weng Wen-hao was a Chinese geologist and politician who briefly served as premier of the Republic of China during the late stages of the Chinese Civil War.
-
E.
Tai Jeng-wu
Tai Jeng-wu is a Taiwanese business executive best known for leading Sharp Corporation’s turnaround as its president.
- 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_69d85cce25008190b13b52745fbd719b |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e4b903c8190a35f9267cb38e721 |
completed | April 16, 2026, 2:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff678536d48190a0192c79f7c281e7 |
completed | May 9, 2026, 4:57 p.m. |
| NEDg | Description generation | batch_69ff68947cec8190a77cfe560a10a1ee |
completed | May 9, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff69370ed081908ab61470f126bcf9 |
completed | May 9, 2026, 5:04 p.m. |
Created at: April 10, 2026, 4:11 a.m.