Triple
T20573922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NetherRealm Studios |
E505164
|
entity |
| Predicate | notableFeatureOfGames |
P122493
|
FINISHED |
| Object | cinematic story modes |
—
|
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: cinematic story modes | Statement: [NetherRealm Studios, notableFeatureOfGames, cinematic story modes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableFeatureOfGames Context triple: [NetherRealm Studios, notableFeatureOfGames, cinematic story modes]
-
A.
notableTraitInGames
chosen
Indicates that a particular characteristic or quality is especially prominent or well-known in the context of games.
-
B.
notableGame
Indicates that a particular game is especially significant, prominent, or well-known in relation to the associated entity.
-
C.
gameFeatures
Indicates that a game includes or offers a particular element, characteristic, or functionality.
-
D.
featuresGame
Indicates that something (such as a platform, service, or collection) includes or presents a particular game as part of its offerings.
-
E.
notableGameType
Indicates that a game is of a particular type or category for which the subject is especially well known or notable.
- 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_69e0b4b721588190993ac7b0a9be2736 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a9087af88190a4610ecb29f637ca |
completed | April 20, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69e59ff0116c8190a163ff28ed01430a |
completed | April 20, 2026, 3:39 a.m. |
Created at: April 16, 2026, 11:39 a.m.