Triple
T29334671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malli Malli Idi Rani Roju |
E743876
|
entity |
| Predicate | musicPraised |
P181237
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Malli Malli Idi Rani Roju, musicPraised, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicPraised Context triple: [Malli Malli Idi Rani Roju, musicPraised, true]
-
A.
musicAttracted
Indicates that one entity is drawn or attracted to another entity because of its music.
-
B.
musicMotif
Indicates a recurring musical idea, theme, or pattern that appears multiple times within a composition or across related works.
-
C.
devotionalMusic
Indicates a relationship where music is created, performed, or used as an expression of religious or spiritual devotion toward a deity, faith, or sacred context.
-
D.
musicFromAttraction
Indicates that the music originates from, or is thematically associated with, a specific attraction.
-
E.
musicFeatured
Indicates that a particular piece of music is prominently included or used within another work, event, or context.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f76759b3c48190ad8f1b33596f98c4 |
completed | May 3, 2026, 3:18 p.m. |
Created at: April 28, 2026, 1:30 p.m.