Triple
T17076205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Big Two |
E414353
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Da Lao Er
Da Lao Er is a Chinese card game variant of Big Two, popular for its fast-paced shedding gameplay and strategic use of poker-style combinations.
|
E1249369
|
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: Da Lao Er | Statement: [Big Two, alsoKnownAs, Da Lao Er]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Da Lao Er Context triple: [Big Two, alsoKnownAs, Da Lao Er]
-
A.
Xiaoerjing
Xiaoerjing is an Arabic-based writing system historically used to transcribe Sinitic languages, especially by Muslim communities in China such as the Hui.
-
B.
Dong Da
Dong Da is a historic area of Hanoi, Vietnam, best known as the site of the 1789 victory of Emperor Quang Trung over Qing invaders.
-
C.
Chao Kuang Piu
Chao Kuang Piu was a prominent Hong Kong industrialist and aviation entrepreneur best known for building a major textile empire and helping develop regional air travel in Asia.
-
D.
He Liliang
He Liliang was the wife of Chinese diplomat and former foreign minister Huang Hua.
-
E.
Damei Fachang
Damei Fachang was a prominent Tang dynasty Chan (Zen) Buddhist master known as an influential figure of the Hongzhou school.
- 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: Da Lao Er Triple: [Big Two, alsoKnownAs, Da Lao Er]
Generated description
Da Lao Er is a Chinese card game variant of Big Two, popular for its fast-paced shedding gameplay and strategic use of poker-style combinations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Da Lao Er Target entity description: Da Lao Er is a Chinese card game variant of Big Two, popular for its fast-paced shedding gameplay and strategic use of poker-style combinations.
-
A.
Xiaoerjing
Xiaoerjing is an Arabic-based writing system historically used to transcribe Sinitic languages, especially by Muslim communities in China such as the Hui.
-
B.
Dong Da
Dong Da is a historic area of Hanoi, Vietnam, best known as the site of the 1789 victory of Emperor Quang Trung over Qing invaders.
-
C.
Chao Kuang Piu
Chao Kuang Piu was a prominent Hong Kong industrialist and aviation entrepreneur best known for building a major textile empire and helping develop regional air travel in Asia.
-
D.
He Liliang
He Liliang was the wife of Chinese diplomat and former foreign minister Huang Hua.
-
E.
Damei Fachang
Damei Fachang was a prominent Tang dynasty Chan (Zen) Buddhist master known as an influential figure of the Hongzhou school.
- 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_69e3dbc559388190b685504cca6ed62b |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012edfda588190aff6c6d4c8d64ddd |
completed | May 11, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_6a01317efec48190ae812586579b1039 |
completed | May 11, 2026, 1:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0131e5acb4819098ad7c4532c4118a |
completed | May 11, 2026, 1:33 a.m. |
Created at: April 10, 2026, 5:34 a.m.