Triple

T22292409
Position Surface form Disambiguated ID Type / Status
Subject Katyar Kaljat Ghusali E551029 entity
Predicate musicComposer P32102 FINISHED
Object Kaushal Inamdar
Kaushal Inamdar is an Indian music composer and singer known for his work in Marathi cinema, theatre, and television, as well as for creating the iconic "Marathi Abhiman Geet."
E1558357 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: Kaushal Inamdar | Statement: [Katyar Kaljat Ghusali, musicComposer, Kaushal Inamdar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaushal Inamdar
Context triple: [Katyar Kaljat Ghusali, musicComposer, Kaushal Inamdar]
  • A. Sameer Gadhia
    Sameer Gadhia is the lead vocalist of the American alternative rock band Young the Giant.
  • B. Mihir Meghani
    Mihir Meghani is an American physician and Hindu activist best known as a co-founder and leader of the Hindu American Foundation.
  • C. Abhay Sawant
    Abhay Sawant is a character in the Indian crime drama film "Chandni Bar," which explores the gritty underworld of Mumbai's dance bars and organized crime.
  • D. Suraj Pawar
    Suraj Pawar is an Indian actor known for his role in the critically acclaimed Marathi film "Fandry."
  • E. Nilesh Navalakha
    Nilesh Navalakha is an Indian film producer known for backing acclaimed Marathi cinema, including the award-winning film "Fandry."
  • 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: Kaushal Inamdar
Triple: [Katyar Kaljat Ghusali, musicComposer, Kaushal Inamdar]
Generated description
Kaushal Inamdar is an Indian music composer and singer known for his work in Marathi cinema, theatre, and television, as well as for creating the iconic "Marathi Abhiman Geet."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kaushal Inamdar
Target entity description: Kaushal Inamdar is an Indian music composer and singer known for his work in Marathi cinema, theatre, and television, as well as for creating the iconic "Marathi Abhiman Geet."
  • A. Sameer Gadhia
    Sameer Gadhia is the lead vocalist of the American alternative rock band Young the Giant.
  • B. Mihir Meghani
    Mihir Meghani is an American physician and Hindu activist best known as a co-founder and leader of the Hindu American Foundation.
  • C. Abhay Sawant
    Abhay Sawant is a character in the Indian crime drama film "Chandni Bar," which explores the gritty underworld of Mumbai's dance bars and organized crime.
  • D. Suraj Pawar
    Suraj Pawar is an Indian actor known for his role in the critically acclaimed Marathi film "Fandry."
  • E. Nilesh Navalakha
    Nilesh Navalakha is an Indian film producer known for backing acclaimed Marathi cinema, including the award-winning film "Fandry."
  • 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1560d1ec48190ab86f158c94b677b completed April 29, 2026, 12:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bae70e3288190b569b4221214e6db completed May 19, 2026, 12:27 a.m.
NEDg Description generation batch_6a0baf48d4c481909268ad4c6b4ff67a completed May 19, 2026, 12:31 a.m.
NED2 Entity disambiguation (via description) batch_6a0bafae553c8190a7426ba56b60f147 completed May 19, 2026, 12:32 a.m.
Created at: April 16, 2026, 8:41 p.m.