Triple
T11704639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Markus Persson |
E278206
|
entity |
| Predicate | gameGenreWorkedOn |
P14417
|
FINISHED |
| Object | sandbox |
—
|
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: sandbox | Statement: [Markus Persson, gameGenreWorkedOn, sandbox]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameGenreWorkedOn Context triple: [Markus Persson, gameGenreWorkedOn, sandbox]
-
A.
gameGenreContext
Indicates the genre or type of game associated with a given game entity or gaming context.
-
B.
workedOnGenre
chosen
Indicates that an entity (such as a person or organization) has done work related to a particular genre.
-
C.
associatedWithGenreDevelopment
Indicates a relationship where something has contributed to, influenced, or been involved in the development or evolution of a particular genre.
-
D.
videoGame
Indicates that one entity is a video game associated with, created by, or otherwise related to another entity.
-
E.
websiteGenre
Indicates the thematic category or type of content that a website is primarily associated with.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a49c8c38819083d83f5fdec52b7f |
completed | April 10, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69d88a7b30948190b616a9db5c5488d5 |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:40 p.m.