Triple
T22696714
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pop's Rap Part 3 |
E561195
|
entity |
| Predicate | musicalBackdrop |
P149353
|
FINISHED |
| Object | hip-hop beat |
—
|
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 beat | Statement: [Pop's Rap Part 3, musicalBackdrop, hip-hop beat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalBackdrop Context triple: [Pop's Rap Part 3, musicalBackdrop, hip-hop beat]
-
A.
musicalScene
Indicates a relationship where a scene in a work prominently features musical performance or music-driven action.
-
B.
hasBackingMusician
Indicates that one entity serves as a supporting or accompanying musician for another entity, typically in a performance or recording context.
-
C.
musicalDepictionOf
Indicates that one entity is a musical work that artistically represents, portrays, or is inspired by another entity.
-
D.
danceBackground
Indicates that one entity serves as the background or setting for another entity’s dancing activity.
-
E.
musicalProject
Indicates that an entity is a musical endeavor or body of work, such as a band, solo act, or organized music-making project, associated with another entity.
- 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_69e2454e615481909c177440be559d2c |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1789f26848190bcc5a99e3ed909e7 |
completed | April 29, 2026, 3:18 a.m. |
| PD | Predicate disambiguation | batch_69ee62bd657c81909f7b01245b080a5f |
completed | April 26, 2026, 7:08 p.m. |
| PDg | Predicate description generation | batch_69ee8843d3308190b6e22bb98ae5c3d8 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 17, 2026, 3:14 p.m.