Triple
T8552074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatal Fury: King of Fighters |
E202466
|
entity |
| Predicate | introducedCharacter |
P12208
|
FINISHED |
| Object |
Hwa Jai
Hwa Jai is a Muay Thai fighter and recurring character in SNK’s Fatal Fury and The King of Fighters series, known for his drunken fighting style and rivalry with Joe Higashi.
|
E743512
|
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: Hwa Jai | Statement: [Fatal Fury: King of Fighters, introducedCharacter, Hwa Jai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hwa Jai Context triple: [Fatal Fury: King of Fighters, introducedCharacter, Hwa Jai]
-
A.
Seonghwan
Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
-
B.
Jinwicheon
Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
-
C.
Dong Ha
Dong Ha is a city in central Vietnam that serves as the administrative, economic, and transportation hub of Quang Tri Province.
-
D.
Lee Hak-rae
Lee Hak-rae is a South Korean sports official best known for delivering the judges' oath at the 1988 Seoul Summer Olympics.
-
E.
Han Sing
Han Sing is a skilled ex-cop and martial artist, portrayed by Jet Li, who seeks vengeance and uncovers a criminal conspiracy in the action film "Romeo Must Die."
- 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: Hwa Jai Triple: [Fatal Fury: King of Fighters, introducedCharacter, Hwa Jai]
Generated description
Hwa Jai is a Muay Thai fighter and recurring character in SNK’s Fatal Fury and The King of Fighters series, known for his drunken fighting style and rivalry with Joe Higashi.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hwa Jai Target entity description: Hwa Jai is a Muay Thai fighter and recurring character in SNK’s Fatal Fury and The King of Fighters series, known for his drunken fighting style and rivalry with Joe Higashi.
-
A.
Seonghwan
Seonghwan is a locality in South Korea historically noted as the site of the Battle of Seonghwan during the First Sino-Japanese War.
-
B.
Jinwicheon
Jinwicheon is a river flowing through the city of Pyeongtaek in South Korea.
-
C.
Dong Ha
Dong Ha is a city in central Vietnam that serves as the administrative, economic, and transportation hub of Quang Tri Province.
-
D.
Lee Hak-rae
Lee Hak-rae is a South Korean sports official best known for delivering the judges' oath at the 1988 Seoul Summer Olympics.
-
E.
Han Sing
Han Sing is a skilled ex-cop and martial artist, portrayed by Jet Li, who seeks vengeance and uncovers a criminal conspiracy in the action film "Romeo Must Die."
- 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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe886fb788190a73e7c76c4f86409 |
completed | March 31, 2026, 3:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce892efdf8819093c966bd8f6c8065 |
completed | April 2, 2026, 3:20 p.m. |
| NEDg | Description generation | batch_69ce8c7ad5cc8190a50c8e15ce353d1d |
completed | April 2, 2026, 3:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8d595d80819093a1b849bcb3c7c7 |
completed | April 2, 2026, 3:38 p.m. |
Created at: March 30, 2026, 6:19 p.m.