Triple

T22102963
Position Surface form Disambiguated ID Type / Status
Subject Daddy (1989 film) E546214 entity
Predicate musicBy P1952 FINISHED
Object Rajesh Roshan
Rajesh Roshan is an Indian film music composer known for his melodic scores in numerous Bollywood films since the 1970s.
E1524128 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: Rajesh Roshan | Statement: [Daddy (1989 film), musicBy, Rajesh Roshan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajesh Roshan
Context triple: [Daddy (1989 film), musicBy, Rajesh Roshan]
  • A. Shankar Kistaiya
    Shankar Kistaiya was one of the co-conspirators involved in the plot surrounding Narayan Apte, a key figure in the assassination of Mahatma Gandhi.
  • B. Naushad
    Naushad was a legendary Indian film music director and composer renowned for his classical-based scores in Hindi cinema’s golden era.
  • C. Hemant Kumar
    Hemant Kumar was a renowned Indian playback singer and music director, celebrated for his melodious voice and influential compositions in Bengali and Hindi cinema.
  • D. Mukesh Bhatt
    Mukesh Bhatt is a prominent Indian film producer known for co-founding Vishesh Films and backing numerous successful Bollywood movies.
  • E. Shekhar Suman
    Shekhar Suman is an Indian actor, television host, and comedian known for his work in Hindi films and popular TV shows.
  • 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: Rajesh Roshan
Triple: [Daddy (1989 film), musicBy, Rajesh Roshan]
Generated description
Rajesh Roshan is an Indian film music composer known for his melodic scores in numerous Bollywood films since the 1970s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Rajesh Roshan
Target entity description: Rajesh Roshan is an Indian film music composer known for his melodic scores in numerous Bollywood films since the 1970s.
  • A. Shankar Kistaiya
    Shankar Kistaiya was one of the co-conspirators involved in the plot surrounding Narayan Apte, a key figure in the assassination of Mahatma Gandhi.
  • B. Naushad
    Naushad was a legendary Indian film music director and composer renowned for his classical-based scores in Hindi cinema’s golden era.
  • C. Hemant Kumar
    Hemant Kumar was a renowned Indian playback singer and music director, celebrated for his melodious voice and influential compositions in Bengali and Hindi cinema.
  • D. Mukesh Bhatt
    Mukesh Bhatt is a prominent Indian film producer known for co-founding Vishesh Films and backing numerous successful Bollywood movies.
  • E. Shekhar Suman
    Shekhar Suman is an Indian actor, television host, and comedian known for his work in Hindi films and popular TV shows.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129175a7881909549883f23c53dca completed April 28, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aa5fe88488190b775ff282d8b4e3b completed May 18, 2026, 5:39 a.m.
NEDg Description generation batch_6a0aa6930fa481909bfd0c97f4880804 completed May 18, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa7150e9c81908069369f2075dea5 completed May 18, 2026, 5:43 a.m.
Created at: April 16, 2026, 8:30 p.m.