Triple
T20417435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jhankaar Beats |
E500748
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Rishi
Rishi is a fictional character from the Hindi musical comedy film "Jhankaar Beats."
|
E1428944
|
NE FINISHED |
How this triple was built (4 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: Rishi | Statement: [Jhankaar Beats, hasCharacter, Rishi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rishi Context triple: [Jhankaar Beats, hasCharacter, Rishi]
-
A.
Rishi
Rishi is a revered sage or seer in Indian religious and philosophical traditions, often associated with deep spiritual insight and the composition of sacred texts.
-
B.
Rishi
Rishi is the given name of Rishi Sunak, the British Conservative politician who became Prime Minister of the United Kingdom in 2022.
-
C.
Nund Rishi
Nund Rishi was a 14th-century Kashmiri Sufi saint and poet revered as a spiritual founder of Kashmir’s indigenous Rishi order and a key figure in the region’s devotional and cultural life.
-
D.
Rishi Markandeya
Rishi Markandeya is a revered sage in Hindu tradition, known for his great longevity, devotion, and role as a storyteller of sacred legends.
-
E.
Rishi Kanva
Rishi Kanva is an ancient Vedic sage traditionally associated with the Rigveda and revered as the progenitor of the Kanva lineage and its scholarly tradition.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Rishi Triple: [Jhankaar Beats, hasCharacter, Rishi]
Generated description
Rishi is a fictional character from the Hindi musical comedy film "Jhankaar Beats."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rishi Target entity description: Rishi is a fictional character from the Hindi musical comedy film "Jhankaar Beats."
-
A.
Rishi
Rishi is the given name of Rishi Sunak, the British Conservative politician who became Prime Minister of the United Kingdom in 2022.
-
B.
Rishi
Rishi is a revered sage or seer in Indian religious and philosophical traditions, often associated with deep spiritual insight and the composition of sacred texts.
-
C.
Nund Rishi
Nund Rishi was a 14th-century Kashmiri Sufi saint and poet revered as a spiritual founder of Kashmir’s indigenous Rishi order and a key figure in the region’s devotional and cultural life.
-
D.
Rishi Markandeya
Rishi Markandeya is a revered sage in Hindu tradition, known for his great longevity, devotion, and role as a storyteller of sacred legends.
-
E.
Rishi Kanva
Rishi Kanva is an ancient Vedic sage traditionally associated with the Rigveda and revered as the progenitor of the Kanva lineage and its scholarly tradition.
- F. None of above. chosen
Provenance (5 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a44ecf48190ba5a3872af500dc8 |
completed | April 20, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a087b284bb8819090f76ec27116c619 |
completed | May 16, 2026, 2:11 p.m. |
| NEDg | Description generation | batch_6a088017be588190ab94b8180e44ebf4 |
completed | May 16, 2026, 2:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0880c45e1081908f439ade0c31a47e |
completed | May 16, 2026, 2:35 p.m. |
Created at: April 16, 2026, 11:30 a.m.