Triple
T15999863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soulcalibur |
E388065
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Xianghua
Xianghua is a swift, sword-wielding Chinese warrior and one of the central playable fighters in the Soulcalibur fighting game series.
|
E1187786
|
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: Xianghua | Statement: [Soulcalibur, mainCharacter, Xianghua]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xianghua Context triple: [Soulcalibur, mainCharacter, Xianghua]
-
A.
Huaxiang
Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
-
B.
Yuxiang
Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
-
C.
Xinhua Xiang
Xinhua Xiang is a regional variety of the Xiang group of Chinese dialects spoken in parts of Hunan Province.
-
D.
Xuanhu
Xuanhu is the art name of Xu Guangqi, a prominent late Ming dynasty scholar-official, scientist, and collaborator of Matteo Ricci in introducing Western science to China.
-
E.
Xiangbo
Xiangbo is the given name of Ma Xiangbo, a prominent Chinese Jesuit priest, educator, and co-founder of several influential modern universities in China.
- 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: Xianghua Triple: [Soulcalibur, mainCharacter, Xianghua]
Generated description
Xianghua is a swift, sword-wielding Chinese warrior and one of the central playable fighters in the Soulcalibur fighting game series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xianghua Target entity description: Xianghua is a swift, sword-wielding Chinese warrior and one of the central playable fighters in the Soulcalibur fighting game series.
-
A.
Huaxiang
Huaxiang is a subdistrict-level area within Beijing’s Fengtai District, known primarily as a residential and urban community zone.
-
B.
Yuxiang
Yuxiang is a Chinese given name notably borne by the early 20th-century warlord and military leader Feng Yuxiang.
-
C.
Xinhua Xiang
Xinhua Xiang is a regional variety of the Xiang group of Chinese dialects spoken in parts of Hunan Province.
-
D.
Xuanhu
Xuanhu is the art name of Xu Guangqi, a prominent late Ming dynasty scholar-official, scientist, and collaborator of Matteo Ricci in introducing Western science to China.
-
E.
Xiangbo
Xiangbo is the given name of Ma Xiangbo, a prominent Chinese Jesuit priest, educator, and co-founder of several influential modern universities in China.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1578a0adc819097c6a23514182173 |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3d99ca08190a3d07a0802b1b24a |
completed | May 9, 2026, 11:31 p.m. |
| NEDg | Description generation | batch_69ffc44e8b0c81909b8af9006aa5fc4d |
completed | May 9, 2026, 11:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffc4bdf840819085e0a537e126c704 |
completed | May 9, 2026, 11:35 p.m. |
Created at: April 10, 2026, 4:55 a.m.