Triple
T15465747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acorn Plains |
E372025
|
entity |
| Predicate | musicThemeType |
P118333
|
FINISHED |
| Object | overworld theme remix |
—
|
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: overworld theme remix | Statement: [Acorn Plains, musicThemeType, overworld theme remix]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicThemeType Context triple: [Acorn Plains, musicThemeType, overworld theme remix]
-
A.
soundtrackType
Indicates the specific category or format of a soundtrack associated with a work, such as score, compilation, or original soundtrack.
-
B.
musicForCharacterType
Indicates a relationship where a piece of music is specifically associated with, or intended to represent, a particular type or category of character.
-
C.
albumTheme
Indicates that one entity is the central subject, concept, or motif that thematically unifies the other entity, which is an album.
-
D.
gameTheme
Indicates the central subject, style, or conceptual focus that characterizes a game.
-
E.
musicMood
Indicates the emotional tone or atmosphere conveyed by a piece of music or musical performance.
- F. None of above. chosen
Provenance (4 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f680cec8190836a5ec841dee224 |
completed | April 16, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69ded284bd008190b31c53b4f1cebadd |
completed | April 14, 2026, 11:49 p.m. |
| PDg | Predicate description generation | batch_69ded5deee00819099fa3e43313312e1 |
completed | April 15, 2026, 12:03 a.m. |
Created at: April 10, 2026, 3:33 a.m.