Triple
T20350179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Street Fighter II |
E495984
|
entity |
| Predicate | numberOfInitialPlayableCharacters |
P48193
|
FINISHED |
| Object | 8 |
—
|
LITERAL FINISHED |
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: 8 | Statement: [Street Fighter II, numberOfInitialPlayableCharacters, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfInitialPlayableCharacters Context triple: [Street Fighter II, numberOfInitialPlayableCharacters, 8]
-
A.
numberOfPlayableCharacters
chosen
Indicates the total count of distinct characters that can be actively controlled or played by a user in a game or interactive experience.
-
B.
numberOfCharacters
Indicates the total count of individual characters present in a given text, string, or entity’s representation.
-
C.
hasPlayableCharacter
Indicates that an entity includes or is associated with a character that a user can control or play as.
-
D.
numberOfHumanProtagonists
Indicates the count of human characters that serve as protagonists in a given work or context.
-
E.
numberOfMasteriesAtLaunch
Indicates the total count of masteries that were available at the initial launch of the related product or system.
- F. None of above.
Provenance (3 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. |
| PD | Predicate disambiguation | batch_69e57636b4808190bc2855af48a3ccdc |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:24 a.m.