Triple
T17075029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Horse Award for Best Actor |
E414325
|
entity |
| Predicate | notableRecipient |
P108
|
FINISHED |
| Object |
Liao Fan
Liao Fan is a Chinese actor acclaimed for his intense, nuanced performances in film and television, earning major awards and recognition in the Chinese-speaking world.
|
E1256122
|
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: Liao Fan | Statement: [Golden Horse Award for Best Actor, notableRecipient, Liao Fan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liao Fan Context triple: [Golden Horse Award for Best Actor, notableRecipient, Liao Fan]
-
A.
Liu Dong
Liu Dong is a Chinese middle-distance runner best known for winning the women's 1500 metres world title in 1993 as part of coach Ma Junren's famed "Ma's Army."
-
B.
Liu Li
Liu Li was a son of Liu Bei, the founding emperor of Shu Han during China’s Three Kingdoms period.
-
C.
Li Jinglong
Li Jinglong was a Ming dynasty general best known for his unsuccessful leadership of imperial forces against Zhu Di during the Jingnan campaign.
-
D.
Jun Yu
Jun Yu is an actor known for his role in Disney's live-action adaptation of "Mulan" (2020).
-
E.
Feng Tianwei
Feng Tianwei is a Singaporean table tennis player, originally from China, renowned for winning multiple Olympic and World Championship medals and being one of Singapore’s most successful athletes.
- 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: Liao Fan Triple: [Golden Horse Award for Best Actor, notableRecipient, Liao Fan]
Generated description
Liao Fan is a Chinese actor acclaimed for his intense, nuanced performances in film and television, earning major awards and recognition in the Chinese-speaking world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Liao Fan Target entity description: Liao Fan is a Chinese actor acclaimed for his intense, nuanced performances in film and television, earning major awards and recognition in the Chinese-speaking world.
-
A.
Liu Dong
Liu Dong is a Chinese middle-distance runner best known for winning the women's 1500 metres world title in 1993 as part of coach Ma Junren's famed "Ma's Army."
-
B.
Liu Li
Liu Li was a son of Liu Bei, the founding emperor of Shu Han during China’s Three Kingdoms period.
-
C.
Li Jinglong
Li Jinglong was a Ming dynasty general best known for his unsuccessful leadership of imperial forces against Zhu Di during the Jingnan campaign.
-
D.
Jun Yu
Jun Yu is an actor known for his role in Disney's live-action adaptation of "Mulan" (2020).
-
E.
Feng Tianwei
Feng Tianwei is a Singaporean table tennis player, originally from China, renowned for winning multiple Olympic and World Championship medals and being one of Singapore’s most successful athletes.
- 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_69d886cef44c8190ba56c44b4e863e64 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbc47808819088a4ca039689b213 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fbb89fc81908d2355d36ea2469e |
completed | May 11, 2026, 4:48 a.m. |
| NEDg | Description generation | batch_6a0161333a6081909b6d01afa7e4046b |
completed | May 11, 2026, 4:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0161b8569c819088f0fdd673bb2d03 |
completed | May 11, 2026, 4:57 a.m. |
Created at: April 10, 2026, 5:34 a.m.