Triple
T17069931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wu Assassins |
E414188
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Kai Jin
Kai Jin is a young Chinatown chef who becomes the chosen Wu Assassin, gaining mystical powers to battle ancient criminals in the Netflix action-fantasy series "Wu Assassins."
|
E1247425
|
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: Kai Jin | Statement: [Wu Assassins, mainCharacter, Kai Jin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kai Jin Context triple: [Wu Assassins, mainCharacter, Kai Jin]
-
A.
Kai Huang
Kai Huang is an entrepreneur best known as the co-founder of RedOctane, the company behind the hit video game franchise Guitar Hero.
-
B.
James Kang
James Kang is a film producer best known for his work on the family martial-arts comedy movie "Three Ninjas."
-
C.
Kai Li
Kai Li is a computer scientist known for his influential work in parallel and distributed systems and for co-founding the ImageNet project, which helped drive major advances in computer vision and deep learning.
-
D.
Chin Yang
Chin Yang is the given name of C. Y. Lee, a Chinese-American author best known for his novel "The Flower Drum Song."
-
E.
Kai Chen
Kai Chen is a researcher known for co-authoring influential work in natural language processing and word embeddings alongside Tomas Mikolov.
- 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: Kai Jin Triple: [Wu Assassins, mainCharacter, Kai Jin]
Generated description
Kai Jin is a young Chinatown chef who becomes the chosen Wu Assassin, gaining mystical powers to battle ancient criminals in the Netflix action-fantasy series "Wu Assassins."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kai Jin Target entity description: Kai Jin is a young Chinatown chef who becomes the chosen Wu Assassin, gaining mystical powers to battle ancient criminals in the Netflix action-fantasy series "Wu Assassins."
-
A.
Kai Huang
Kai Huang is an entrepreneur best known as the co-founder of RedOctane, the company behind the hit video game franchise Guitar Hero.
-
B.
James Kang
James Kang is a film producer best known for his work on the family martial-arts comedy movie "Three Ninjas."
-
C.
Kai Li
Kai Li is a computer scientist known for his influential work in parallel and distributed systems and for co-founding the ImageNet project, which helped drive major advances in computer vision and deep learning.
-
D.
Chin Yang
Chin Yang is the given name of C. Y. Lee, a Chinese-American author best known for his novel "The Flower Drum Song."
-
E.
Kai Chen
Kai Chen is a researcher known for co-authoring influential work in natural language processing and word embeddings alongside Tomas Mikolov.
- 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_69e3dbbfb1f08190807301ff6e573cf5 |
completed | April 18, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01235278d48190bacc7881b9eb1ea1 |
completed | May 11, 2026, 12:31 a.m. |
| NEDg | Description generation | batch_6a012425fb808190ad9bcada9429e437 |
completed | May 11, 2026, 12:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01248b53d88190a4ec4fa6cee89bb1 |
completed | May 11, 2026, 12:36 a.m. |
Created at: April 10, 2026, 5:34 a.m.