Triple
T38448365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NAVGTR Award for Game, Original Light Mix Score, New IP |
E906700
|
entity |
| Predicate | genreOfMusicRecognized |
P187716
|
FINISHED |
| Object | light music |
—
|
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: light music | Statement: [NAVGTR Award for Game, Original Light Mix Score, New IP, genreOfMusicRecognized, light music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genreOfMusicRecognized Context triple: [NAVGTR Award for Game, Original Light Mix Score, New IP, genreOfMusicRecognized, light music]
-
A.
genreRecognized
Indicates that a particular genre has been identified or acknowledged as applicable to an entity.
-
B.
genreOfRecognition
Indicates the specific genre or category in which an entity (such as a work or person) is formally recognized, honored, or awarded.
-
C.
musicGenreCategory
Indicates that one entity is a broader music genre category under which the other music genre is classified.
-
D.
styleOfMusic
Indicates the musical genre or stylistic category that characterizes a piece of music, artist, or performance.
-
E.
genreOfAssociatedMusic
chosen
Indicates the type or category of music that is associated with a given 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_69f76e72878c8190a692836c8b01b58b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:31 p.m.