Triple
T5778225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seediq Bale |
E127496
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object |
Ricky Ho
Ricky Ho is a Taiwanese composer best known for his film scores, including his acclaimed work on the historical epic "Seediq Bale."
|
E542935
|
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: Ricky Ho | Statement: [Seediq Bale, musicBy, Ricky Ho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ricky Ho Context triple: [Seediq Bale, musicBy, Ricky Ho]
-
A.
Savio Kwan
Savio Kwan is a business executive best known for his leadership roles at Alibaba Group, where he helped guide the company’s early growth and international expansion.
-
B.
Eddie Yue
Eddie Yue is a Hong Kong banker who serves as the Chief Executive of the Hong Kong Monetary Authority.
-
C.
Ronald Cheng
Ronald Cheng is a Hong Kong actor and Cantopop singer known for his comedic film roles and successful music career.
-
D.
Hung Kam-bo
Hung Kam-bo, better known as Sammo Hung, is a renowned Hong Kong actor, martial artist, director, and action choreographer who helped shape the modern kung fu and action cinema genre.
-
E.
Freddie Chan
Freddie Chan is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Chan.
- 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: Ricky Ho Triple: [Seediq Bale, musicBy, Ricky Ho]
Generated description
Ricky Ho is a Taiwanese composer best known for his film scores, including his acclaimed work on the historical epic "Seediq Bale."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ricky Ho Target entity description: Ricky Ho is a Taiwanese composer best known for his film scores, including his acclaimed work on the historical epic "Seediq Bale."
-
A.
Savio Kwan
Savio Kwan is a business executive best known for his leadership roles at Alibaba Group, where he helped guide the company’s early growth and international expansion.
-
B.
Eddie Yue
Eddie Yue is a Hong Kong banker who serves as the Chief Executive of the Hong Kong Monetary Authority.
-
C.
Ronald Cheng
Ronald Cheng is a Hong Kong actor and Cantopop singer known for his comedic film roles and successful music career.
-
D.
Hung Kam-bo
Hung Kam-bo, better known as Sammo Hung, is a renowned Hong Kong actor, martial artist, director, and action choreographer who helped shape the modern kung fu and action cinema genre.
-
E.
Freddie Chan
Freddie Chan is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Chan.
- 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_69c008361fa88190aefa4dc41b051e7f |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029e107348190a03086f1cbfae0d3 |
completed | March 22, 2026, 5:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e6fd260819090d5e3c877c8bd31 |
completed | March 22, 2026, 11:42 p.m. |
| NEDg | Description generation | batch_69c08ba48a1c819090f276116a084a01 |
completed | March 23, 2026, 12:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c08c094bd08190bb3d849bf1a80ad0 |
completed | March 23, 2026, 12:40 a.m. |
Created at: March 22, 2026, 3:50 p.m.