Triple
T28038647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P-body |
E708477
|
entity |
| Predicate | gameGenreAppearance |
P21332
|
FINISHED |
| Object | first-person puzzle-platform |
—
|
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: first-person puzzle-platform | Statement: [P-body, gameGenreAppearance, first-person puzzle-platform]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameGenreAppearance Context triple: [P-body, gameGenreAppearance, first-person puzzle-platform]
-
A.
gameGenreContext
Indicates the genre or type of game associated with a given game entity or gaming context.
-
B.
websiteGenre
Indicates the thematic category or type of content that a website is primarily associated with.
-
C.
videoGame
Indicates that one entity is a video game associated with, created by, or otherwise related to another entity.
-
D.
hasGenreInVideoGameAdaptations
Indicates that a work is associated with a specific genre specifically in the context of its video game adaptations.
-
E.
genreOfAppearance
chosen
Indicates the genre or type of creative work in which an entity appears.
- 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_69ef9b6cf538819094a633ffa67afec1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f63f2e1a248190a41f02f91e8c1183 |
completed | May 2, 2026, 6:15 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 8:23 p.m.