Triple
T18692863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marathi Bhavgeet |
E457042
|
entity |
| Predicate | relatedGenre |
P8654
|
FINISHED |
| Object | Sugam Sangeet |
—
|
NE NERFINISHED |
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: Sugam Sangeet | Statement: [Marathi Bhavgeet, relatedGenre, Sugam Sangeet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sugam Sangeet Context triple: [Marathi Bhavgeet, relatedGenre, Sugam Sangeet]
-
A.
Bhagam Bhag
Bhagam Bhag is a 2006 Indian Hindi-language comedy film directed by Priyadarshan, known for its slapstick humor and ensemble cast including Akshay Kumar, Govinda, and Lara Dutta.
-
B.
Naatu Naatu
Naatu Naatu is a high-energy Telugu-language song from the Indian film "RRR" that gained international acclaim for its catchy rhythm and dynamic dance choreography.
-
C.
Sadhana Sargam
Sadhana Sargam is an acclaimed Indian playback singer known for her extensive work in Hindi and regional cinema, as well as for her classical training and numerous prestigious music awards.
-
D.
Gudda Gudda
Gudda Gudda is an American rapper best known as a longtime member of Lil Wayne’s Young Money collective, contributing to various group projects and mixtapes.
-
E.
Neeya Naana
Neeya Naana is a popular Tamil-language talk show known for its debate-style discussions on social and cultural issues, aired on Vijay TV.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sugam Sangeet Target entity description: Sugam Sangeet is a light, melodious form of Indian music that blends classical and popular styles to create accessible, emotionally expressive songs.
-
A.
Bhagam Bhag
Bhagam Bhag is a 2006 Indian Hindi-language comedy film directed by Priyadarshan, known for its slapstick humor and ensemble cast including Akshay Kumar, Govinda, and Lara Dutta.
-
B.
Naatu Naatu
Naatu Naatu is a high-energy Telugu-language song from the Indian film "RRR" that gained international acclaim for its catchy rhythm and dynamic dance choreography.
-
C.
Sadhana Sargam
Sadhana Sargam is an acclaimed Indian playback singer known for her extensive work in Hindi and regional cinema, as well as for her classical training and numerous prestigious music awards.
-
D.
Gudda Gudda
Gudda Gudda is an American rapper best known as a longtime member of Lil Wayne’s Young Money collective, contributing to various group projects and mixtapes.
-
E.
Neeya Naana
Neeya Naana is a popular Tamil-language talk show known for its debate-style discussions on social and cultural issues, aired on Vijay TV.
- F. None of above. chosen
Provenance (2 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_69d8d391eb488190ac2e9abf5bf255e4 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e562e4756881909335e1e7b3c23e28 |
completed | April 19, 2026, 11:19 p.m. |
Created at: April 10, 2026, 11:49 a.m.