Triple
T2432956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MachineGames |
E52887
|
entity |
| Predicate | gameGenreSpecialty |
P21380
|
FINISHED |
| Object | story-driven shooters |
—
|
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: story-driven shooters | Statement: [MachineGames, gameGenreSpecialty, story-driven shooters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameGenreSpecialty Context triple: [MachineGames, gameGenreSpecialty, story-driven shooters]
-
A.
genreSpecialty
chosen
Indicates that an entity specializes in or is particularly associated with a specific genre.
-
B.
notableGameType
Indicates that a game is of a particular type or category for which the subject is especially well known or notable.
-
C.
videoGame
Indicates that one entity is a video game associated with, created by, or otherwise related to another entity.
-
D.
genreFeatures
Indicates that a particular genre is characterized or defined by certain features or attributes.
-
E.
notableExclusiveGame
Indicates that a game holds particular notability or prominence as an exclusive title for a specific platform or ecosystem.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abcc74a5108190a3a9631b0cc1a127 |
completed | March 7, 2026, 6:57 a.m. |
| PD | Predicate disambiguation | batch_69abc5aa1b60819081b87f7985c6cff3 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 6, 2026, 9:43 p.m.