Triple
T6440643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mother (After the Fall) |
E138211
|
entity |
| Predicate | appearsInVideoGameGenre |
P795
|
FINISHED |
| Object | virtual reality co-op shooter |
—
|
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: virtual reality co-op shooter | Statement: [Mother (After the Fall), appearsInVideoGameGenre, virtual reality co-op shooter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsInVideoGameGenre Context triple: [Mother (After the Fall), appearsInVideoGameGenre, virtual reality co-op shooter]
-
A.
videoGame
Indicates that one entity is a video game associated with, created by, or otherwise related to another entity.
-
B.
appearsIn
chosen
Indicates that an entity is present, featured, or occurs within a particular context, work, or medium.
-
C.
gameGenreContext
Indicates the genre or type of game associated with a given game entity or gaming context.
-
D.
seriesGame
Indicates that a game is part of, or belongs to, a particular series or franchise.
-
E.
relatedGame
Indicates that one game has a notable connection or association with another game, such as shared content, themes, or series.
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06968c6a88190a623da9bd3152a66 |
completed | March 22, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69c060f96980819091bab9335922a457 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:46 p.m.