Triple
T31658666
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Endaro Mahanubhavulu |
E807931
|
entity |
| Predicate | musicalQuality |
P46763
|
FINISHED |
| Object | melodic richness |
—
|
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: melodic richness | Statement: [Endaro Mahanubhavulu, musicalQuality, melodic richness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicalQuality Context triple: [Endaro Mahanubhavulu, musicalQuality, melodic richness]
-
A.
musicalAttribute
chosen
Indicates a relationship where a musical work, performance, or element is characterized by a specific musical property or quality (such as tempo, key, style, or mood).
-
B.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
-
C.
musicalWork
Indicates a relationship where an entity is identified as a musical composition or piece associated with another entity (such as a creator, performance, or recording).
-
D.
melodyMeter
Indicates a relationship where a melody is associated with, or structured according to, a specific metrical pattern or time signature.
-
E.
musicalAbility
Indicates that an entity possesses skill, talent, or proficiency in performing, creating, or understanding music.
- 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_69f348daf95c81908b4c985b7ddcd0b3 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: April 30, 2026, 10:56 p.m.