Triple

T5738088
Position Surface form Disambiguated ID Type / Status
Subject Pyar Kiya To Darna Kya E126547 entity
Predicate composer P1361 FINISHED
Object Naushad
Naushad was a legendary Indian film music director and composer renowned for his classical-based scores in Hindi cinema’s golden era.
E545519 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: Naushad | Statement: [Pyar Kiya To Darna Kya, composer, Naushad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Naushad
Context triple: [Pyar Kiya To Darna Kya, composer, Naushad]
  • A. Aftab Iqbal
    Aftab Iqbal was the son of the renowned philosopher-poet Allama Muhammad Iqbal and a Pakistani academic and literary figure in his own right.
  • B. Rehman
    Rehman is a surname shared by various individuals, including the late Norwegian-Pakistani comedian and writer Shabana Rehman.
  • C. Nasir Jung
    Nasir Jung was an 18th-century Nizam of Hyderabad in the Deccan, known for his role in the Carnatic Wars and complex alliances with European colonial powers.
  • D. Gulzar
    Gulzar is a renowned Indian poet, lyricist, and filmmaker celebrated for his evocative Urdu and Hindi writings and influential contributions to Indian cinema and music.
  • E. Rehman Nizar Ali
    Rehman Nizar Ali is a film editor known for his work on the experimental romantic drama "Song to Song."
  • 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: Naushad
Triple: [Pyar Kiya To Darna Kya, composer, Naushad]
Generated description
Naushad was a legendary Indian film music director and composer renowned for his classical-based scores in Hindi cinema’s golden era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Naushad
Target entity description: Naushad was a legendary Indian film music director and composer renowned for his classical-based scores in Hindi cinema’s golden era.
  • A. Aftab Iqbal
    Aftab Iqbal was the son of the renowned philosopher-poet Allama Muhammad Iqbal and a Pakistani academic and literary figure in his own right.
  • B. Rehman
    Rehman is a surname shared by various individuals, including the late Norwegian-Pakistani comedian and writer Shabana Rehman.
  • C. Nasir Jung
    Nasir Jung was an 18th-century Nizam of Hyderabad in the Deccan, known for his role in the Carnatic Wars and complex alliances with European colonial powers.
  • D. Gulzar
    Gulzar is a renowned Indian poet, lyricist, and filmmaker celebrated for his evocative Urdu and Hindi writings and influential contributions to Indian cinema and music.
  • E. Rehman Nizar Ali
    Rehman Nizar Ali is a film editor known for his work on the experimental romantic drama "Song to Song."
  • 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0255c8c308190821f968ec41c5078 completed March 22, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e10e4d08190bfb8162d53cfb443 completed March 22, 2026, 11:41 p.m.
NEDg Description generation batch_69c08e02cfd88190b77a246001cbf681 completed March 23, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_69c08eb783a08190840f22ed0128e7a9 completed March 23, 2026, 12:52 a.m.
Created at: March 22, 2026, 3:47 p.m.