Triple
T13220056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 7 Days of Funk |
E314726
|
entity |
| Predicate | hasAppleMusicId |
P108586
|
FINISHED |
| Object | 766750884 |
—
|
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: 766750884 | Statement: [7 Days of Funk, hasAppleMusicId, 766750884]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAppleMusicId Context triple: [7 Days of Funk, hasAppleMusicId, 766750884]
-
A.
allowsAppleMusicSharing
Indicates that one entity permits another entity to share access to or content from Apple Music.
-
B.
hasNotableAirplay
Indicates that something (typically a song, program, or audio content) has received a significant amount of broadcast play on radio or similar media.
-
C.
allMusicID
Indicates a unique identifier that associates an entity with a specific music item or record in a music-related dataset or system.
-
D.
musicBrainzID
Indicates that an entity is associated with a specific identifier in the MusicBrainz database that uniquely references it.
-
E.
associatedMusic
Indicates a relationship where one entity is linked to or connected with a piece of music, such as being used by, related to, or thematically tied to that music.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf581508190883033f0c961736a |
completed | April 10, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69d98bc938f081909f123bdf1263ff7f |
completed | April 10, 2026, 11:46 p.m. |
| PDg | Predicate description generation | batch_69d98c959ba08190adf29dc0c4e1fca6 |
completed | April 10, 2026, 11:49 p.m. |
Created at: April 9, 2026, 9:18 p.m.