Triple
T25286601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talion |
E633958
|
entity |
| Predicate | gameGenreOfWork |
P53697
|
FINISHED |
| Object | open-world action-adventure |
—
|
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: open-world action-adventure | Statement: [Talion, gameGenreOfWork, open-world action-adventure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameGenreOfWork Context triple: [Talion, gameGenreOfWork, open-world action-adventure]
-
A.
gameGenreContext
chosen
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.
targetGenre
Indicates the genre that something is specifically aimed at, categorized under, or intended to belong to.
-
D.
videoGame
Indicates that one entity is a video game associated with, created by, or otherwise related to another entity.
-
E.
games
Indicates that one entity participates in, is associated with, or is characterized by playing or engaging in games with another entity.
- 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_69e75a9402fc81909362ca85277c06d9 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48e09f11481908c65718e522a3e02 |
completed | May 1, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 1:19 p.m.