Triple
T15949038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Power (remix featuring Jay-Z) |
E386765
|
entity |
| Predicate | hasOriginalSongGenre |
P31094
|
FINISHED |
| Object | hip hop |
—
|
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: hip hop | Statement: [Power (remix featuring Jay-Z), hasOriginalSongGenre, hip hop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalSongGenre Context triple: [Power (remix featuring Jay-Z), hasOriginalSongGenre, hip hop]
-
A.
hasOriginalMusicBy
Indicates that the original musical score or soundtrack for a work was created or composed by a specified entity.
-
B.
hasGenreOrigin
Indicates that a genre originates from, or has its roots in, a particular source, place, culture, or tradition.
-
C.
containsOriginalSongs
Indicates that one entity includes or features songs that are original compositions rather than covers or adaptations.
-
D.
originalSong
chosen
Indicates that one entity is the source or initial version of a song from which another entity (such as a cover, remix, or adaptation) is derived.
-
E.
originalLanguageOfSourceSong
Indicates that a given language is the original language in which a particular source song was created or first written.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d37cd88190ab50760f1783e20c |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:53 a.m.