Triple
T20350191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Street Fighter II |
E495984
|
entity |
| Predicate | bossCharacter |
P98692
|
FINISHED |
| Object | M. Bison |
—
|
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: M. Bison | Statement: [Street Fighter II, bossCharacter, M. Bison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M. Bison Context triple: [Street Fighter II, bossCharacter, M. Bison]
-
A.
M. Bison
chosen
M. Bison is the main villain of the Street Fighter series, a ruthless dictator and powerful psycho-powered fighter who leads the criminal organization Shadaloo.
-
B.
Sagat
Sagat is a towering Muay Thai fighter and iconic antagonist from the Street Fighter series, known for his scarred chest, powerful Tiger attacks, and rivalry with Ryu.
-
C.
Terry Silver
Terry Silver is a manipulative and wealthy villain in The Karate Kid franchise, known for orchestrating schemes against Daniel LaRusso and supporting the Cobra Kai dojo.
-
D.
Gouken
Gouken is a legendary martial arts master from the Street Fighter series, best known for training Ryu and Ken in the Ansatsuken fighting style.
-
E.
Junzaburo Ban
Junzaburo Ban was a Japanese actor known for his roles in mid-20th-century cinema, including Akira Kurosawa’s film "Dodes'ka-den."
- 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6784eacf4819095504e541d1d284d |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:24 a.m.