Triple
T3537376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess Peach |
E74800
|
entity |
| Predicate | gameGenreAssociation |
P38924
|
FINISHED |
| Object | platform game |
—
|
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: platform game | Statement: [Princess Peach, gameGenreAssociation, platform game]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gameGenreAssociation Context triple: [Princess Peach, gameGenreAssociation, platform game]
-
A.
genreAssociatedWith
chosen
Indicates a relationship where a work, item, or entity is linked to or categorized under a particular genre.
-
B.
franchiseGenre
Indicates that a franchise belongs to or is categorized under a particular genre.
-
C.
relatedGame
Indicates that one game has a notable connection or association with another game, such as shared content, themes, or series.
-
D.
videoGame
Indicates that one entity is a video game associated with, created by, or otherwise related to another entity.
-
E.
notableGameType
Indicates that a game is of a particular type or category for which the subject is especially well known or notable.
- 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_69ad85d274cc8190ab59c97298a1cfbf |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbcc928248190b851f8280d58cfcf |
completed | March 8, 2026, 6:15 p.m. |
| PD | Predicate disambiguation | batch_69adae13ab808190a5d6ecdc7543445e |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:20 p.m.