Triple

T8739002
Position Surface form Disambiguated ID Type / Status
Subject Kaaka Muttai E207455 entity
Predicate musicBy P1952 FINISHED
Object G. V. Prakash Kumar
G. V. Prakash Kumar is an Indian film composer, singer, and actor best known for his work in Tamil cinema.
E772345 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: G. V. Prakash Kumar | Statement: [Kaaka Muttai, musicBy, G. V. Prakash Kumar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: G. V. Prakash Kumar
Context triple: [Kaaka Muttai, musicBy, G. V. Prakash Kumar]
  • A. Yuvan Shankar Raja
    Yuvan Shankar Raja is a prominent Indian film composer, singer, and music director best known for his trendsetting, youth-centric soundtracks and background scores in Tamil cinema.
  • B. M. M. Keeravani
    M. M. Keeravani is an acclaimed Indian film composer and music director best known internationally for his work on the "Baahubali" films and the Oscar-winning song "Naatu Naatu" from "RRR."
  • C. S. Thaman
    S. Thaman is an Indian film composer and music director best known for his prolific work in Telugu and Tamil cinema.
  • D. Pritam
    Pritam is the surname of Amrita Pritam, the renowned Indian Punjabi poet and novelist.
  • E. Kumar Sanu
    Kumar Sanu is a renowned Indian playback singer, especially famous for his melodious and prolific contributions to Bollywood film music in the 1990s.
  • 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: G. V. Prakash Kumar
Triple: [Kaaka Muttai, musicBy, G. V. Prakash Kumar]
Generated description
G. V. Prakash Kumar is an Indian film composer, singer, and actor best known for his work in Tamil cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: G. V. Prakash Kumar
Target entity description: G. V. Prakash Kumar is an Indian film composer, singer, and actor best known for his work in Tamil cinema.
  • A. Yuvan Shankar Raja
    Yuvan Shankar Raja is a prominent Indian film composer, singer, and music director best known for his trendsetting, youth-centric soundtracks and background scores in Tamil cinema.
  • B. M. M. Keeravani
    M. M. Keeravani is an acclaimed Indian film composer and music director best known internationally for his work on the "Baahubali" films and the Oscar-winning song "Naatu Naatu" from "RRR."
  • C. S. Thaman
    S. Thaman is an Indian film composer and music director best known for his prolific work in Telugu and Tamil cinema.
  • D. Pritam
    Pritam is the surname of Amrita Pritam, the renowned Indian Punjabi poet and novelist.
  • E. Kumar Sanu
    Kumar Sanu is a renowned Indian playback singer, especially famous for his melodious and prolific contributions to Bollywood film music in the 1990s.
  • 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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d470c8c81909ead395ef704c6ba completed March 31, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfdb7875448190a2478cbb623c31e6 completed April 3, 2026, 3:23 p.m.
NEDg Description generation batch_69cfdc384884819083334642471c274a completed April 3, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69cfdc99a59c8190b509f66fa656bd77 completed April 3, 2026, 3:28 p.m.
Created at: March 30, 2026, 6:38 p.m.