Triple
T24559392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raga Bhairav |
E607609
|
entity |
| Predicate | influencedRagas |
P155670
|
FINISHED |
| Object |
Ahir Bhairav
Ahir Bhairav is a popular Hindustani classical raga that blends elements of the Bhairav and folk-based Ahir traditions, typically performed in the early morning.
|
E1641258
|
NE FINISHED |
How this triple was built (3 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: Ahir Bhairav | Statement: [Raga Bhairav, influencedRagas, Ahir Bhairav]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ahir Bhairav Triple: [Raga Bhairav, influencedRagas, Ahir Bhairav]
Generated description
Ahir Bhairav is a popular Hindustani classical raga that blends elements of the Bhairav and folk-based Ahir traditions, typically performed in the early morning.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedRagas Context triple: [Raga Bhairav, influencedRagas, Ahir Bhairav]
-
A.
relatedRaga
Indicates that one raga is musically or structurally connected to another, such as through shared scales, motifs, or derivation.
-
B.
basedOnRaga
Indicates that something (such as a composition, performance, or musical element) is derived from, structured around, or primarily influenced by a particular raga.
-
C.
hasRaga
Indicates that something (such as a musical piece, performance, or composition) is associated with or based on a specific raga.
-
D.
isFoundationalRaga
chosen
Indicates that a raga serves as a primary or fundamental melodic framework upon which other ragas or musical structures are based.
-
E.
influencesMusicOf
Indicates that one entity has an effect on, shapes, or contributes to the musical style, content, or development of another entity.
- F. None of above.
Provenance (6 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_69e2c4cae1b88190825e88d5ce8aa61e |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f4af6481908576473adab9f6bf |
completed | April 30, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ff8650d688190b662bac51f5cbd07 |
completed | May 22, 2026, 6:32 a.m. |
| NEDg | Description generation | batch_6a0ff97de1608190b0f6e6117241e563 |
completed | May 22, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ff9feda34819084e79982606c3972 |
completed | May 22, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:27 a.m.