Triple

T16183401
Position Surface form Disambiguated ID Type / Status
Subject Hum Hain Rahi Pyar Ke E392739 entity
Predicate musicBy P1952 FINISHED
Object Nadeem–Shravan
Nadeem–Shravan were a hugely popular Indian music composer duo, best known for shaping the sound of 1990s Bollywood romance films with their melodious, hit-filled soundtracks.
E1199391 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: Nadeem–Shravan | Statement: [Hum Hain Rahi Pyar Ke, musicBy, Nadeem–Shravan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nadeem–Shravan
Context triple: [Hum Hain Rahi Pyar Ke, musicBy, Nadeem–Shravan]
  • A. Rehman
    Rehman is a surname shared by various individuals, including the late Norwegian-Pakistani comedian and writer Shabana Rehman.
  • B. Sad-bhawna Shikhar
    Sad-bhawna Shikhar is a peak in central India that forms the highest elevation of the Vindhya Range.
  • C. Umang Lai
    Umang Lai are forest deities in the Meitei religion of Sanamahism, revered as guardians of sacred groves and natural spaces in Manipur.
  • D. Naushad
    Naushad was a legendary Indian film music director and composer renowned for his classical-based scores in Hindi cinema’s golden era.
  • E. Nadeem Nusrat
    Nadeem Nusrat is a Pakistani political figure known for his leadership role in the London-based faction of the Muttahida Qaumi Movement (MQM-L).
  • 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: Nadeem–Shravan
Triple: [Hum Hain Rahi Pyar Ke, musicBy, Nadeem–Shravan]
Generated description
Nadeem–Shravan were a hugely popular Indian music composer duo, best known for shaping the sound of 1990s Bollywood romance films with their melodious, hit-filled soundtracks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nadeem–Shravan
Target entity description: Nadeem–Shravan were a hugely popular Indian music composer duo, best known for shaping the sound of 1990s Bollywood romance films with their melodious, hit-filled soundtracks.
  • A. Rehman
    Rehman is a surname shared by various individuals, including the late Norwegian-Pakistani comedian and writer Shabana Rehman.
  • B. Sad-bhawna Shikhar
    Sad-bhawna Shikhar is a peak in central India that forms the highest elevation of the Vindhya Range.
  • C. Umang Lai
    Umang Lai are forest deities in the Meitei religion of Sanamahism, revered as guardians of sacred groves and natural spaces in Manipur.
  • D. Naushad
    Naushad was a legendary Indian film music director and composer renowned for his classical-based scores in Hindi cinema’s golden era.
  • E. Nadeem Nusrat
    Nadeem Nusrat is a Pakistani political figure known for his leadership role in the London-based faction of the Muttahida Qaumi Movement (MQM-L).
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205ef39081908da383abdebc2ccc completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffff03400481908e66db8cf0213c15 completed May 10, 2026, 3:44 a.m.
NEDg Description generation batch_6a0000ceba648190ac5ecefd34f10d4e completed May 10, 2026, 3:51 a.m.
NED2 Entity disambiguation (via description) batch_6a00013fdb1c8190add653fc1cf30e44 completed May 10, 2026, 3:53 a.m.
Created at: April 10, 2026, 5:02 a.m.