Triple
T18584085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The King of Fighters series |
E454194
|
entity |
| Predicate | publisher |
P29
|
FINISHED |
| Object | SNK |
—
|
NE NERFINISHED |
How this triple was built (2 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: SNK | Statement: [The King of Fighters series, publisher, SNK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SNK Context triple: [The King of Fighters series, publisher, SNK]
-
A.
SNK
chosen
SNK is a Japanese video game company best known for its arcade and home console systems and fighting game franchises such as The King of Fighters, Samurai Shodown, and Metal Slug.
-
B.
SNK
SNK is the National Rail station code assigned to Sankey for Penketh railway station in Cheshire, England.
-
C.
CAPCOM
CAPCOM is the designated NASA Mission Control communicator responsible for direct voice contact with astronauts during space missions.
-
D.
Konami
Konami is a major Japanese entertainment company best known for developing and publishing popular video game franchises such as Metal Gear, Castlevania, and Silent Hill.
-
E.
Toie
Toie is a given name, often used as a short or informal form of the name Toie Roberts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543d200dc8190b8797d731f4e4865 |
completed | April 19, 2026, 9:06 p.m. |
Created at: April 10, 2026, 11:44 a.m.