Triple
T38174988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bhakti |
E1000182
|
entity |
| Predicate | musicIncorporation |
P197504
|
FINISHED |
| Object | Indian-influenced 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: Indian-influenced music | Statement: [Bhakti, musicIncorporation, Indian-influenced music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicIncorporation Context triple: [Bhakti, musicIncorporation, Indian-influenced music]
-
A.
musicIndustryPartner
Indicates a partnership or collaborative business relationship between entities within the music industry.
-
B.
musicAttracted
Indicates that one entity is drawn or attracted to another entity because of its music.
-
C.
musicIndustry
Indicates a relationship or involvement between entities within the business, production, distribution, or promotion aspects of music.
-
D.
musicBy
Indicates that a piece of music, performance, or recording is created, composed, or performed by a specified musical artist or group.
-
E.
musicFromAttraction
Indicates that the music originates from, or is thematically associated with, a specific attraction.
- 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_69f76daaace48190a38cee37f8ce343f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fe96c2647c819082989f11e1ae3d35 |
completed | May 9, 2026, 2:06 a.m. |
| PD | Predicate disambiguation | batch_69fe928615448190af939e5a94be55bb |
completed | May 9, 2026, 1:48 a.m. |
| PDg | Predicate description generation | batch_69fe96c0b760819093737292d33df165 |
completed | May 9, 2026, 2:06 a.m. |
Created at: May 3, 2026, 4:29 p.m.