Triple

T21944528
Position Surface form Disambiguated ID Type / Status
Subject Gunday E541901 entity
Predicate musicBy P1952 FINISHED
Object Sohail Sen
Sohail Sen is an Indian film composer and music director known for his work on Bollywood soundtracks.
E1509431 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: Sohail Sen | Statement: [Gunday, musicBy, Sohail Sen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sohail Sen
Context triple: [Gunday, musicBy, Sohail Sen]
  • A. Arif Masood
    Arif Masood is a Pakistani architect best known for designing the iconic Pakistan Monument in Islamabad.
  • B. Vaseem Khan
    Vaseem Khan is a British crime fiction author best known for his Baby Ganesh Agency series set in India and his Malabar House historical crime novels.
  • C. Waheed Rahman
    Waheed Rahman is a notable individual significant enough in his community or institution to have a hall named in his honor, reflecting his contributions or legacy.
  • D. Habib Tanvir
    Habib Tanvir was a renowned Indian playwright, theatre director, and actor celebrated for blending folk traditions with modern political and social themes on stage.
  • E. Mazhar Munir
    Mazhar Munir is a British actor best known for his role in the geopolitical thriller film "Syriana."
  • 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: Sohail Sen
Triple: [Gunday, musicBy, Sohail Sen]
Generated description
Sohail Sen is an Indian film composer and music director known for his work on Bollywood soundtracks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sohail Sen
Target entity description: Sohail Sen is an Indian film composer and music director known for his work on Bollywood soundtracks.
  • A. Arif Masood
    Arif Masood is a Pakistani architect best known for designing the iconic Pakistan Monument in Islamabad.
  • B. Vaseem Khan
    Vaseem Khan is a British crime fiction author best known for his Baby Ganesh Agency series set in India and his Malabar House historical crime novels.
  • C. Waheed Rahman
    Waheed Rahman is a notable individual significant enough in his community or institution to have a hall named in his honor, reflecting his contributions or legacy.
  • D. Habib Tanvir
    Habib Tanvir was a renowned Indian playwright, theatre director, and actor celebrated for blending folk traditions with modern political and social themes on stage.
  • E. Mazhar Munir
    Mazhar Munir is a British actor best known for his role in the geopolitical thriller film "Syriana."
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242688988190a7b8f033c49368de completed April 28, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a60f1f49c81909f6c17dad3bd0219 completed May 18, 2026, 12:44 a.m.
NEDg Description generation batch_6a0a6200fb1c81909a4ab05fd368dafc completed May 18, 2026, 12:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0a626731d8819097b209ae1375ae25 completed May 18, 2026, 12:50 a.m.
Created at: April 16, 2026, 7:56 p.m.