Triple

T20417475
Position Surface form Disambiguated ID Type / Status
Subject Dil Vil Pyar Vyar E500749 entity
Predicate hasCastMember P2308 FINISHED
Object Hrishitaa Bhatt
Hrishitaa Bhatt is an Indian actress and model known for her work in Hindi films, particularly in the early 2000s.
E1435542 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: Hrishitaa Bhatt | Statement: [Dil Vil Pyar Vyar, hasCastMember, Hrishitaa Bhatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hrishitaa Bhatt
Context triple: [Dil Vil Pyar Vyar, hasCastMember, Hrishitaa Bhatt]
  • A. Geetika Jain
    Geetika Jain is known as the wife of the late Anshu Jain, the former co-CEO of Deutsche Bank.
  • B. Shivani Rawat
    Shivani Rawat is an Indian-American film producer and founder of ShivHans Pictures, known for backing acclaimed independent films such as Trumbo and Captain Fantastic.
  • C. Rima Jain
    Rima Jain is an Indian film industry personality and member of the prominent Kapoor family, known as the daughter of legendary actor-filmmaker Raj Kapoor.
  • D. Anisha Dadia
    Anisha Dadia is a voice actor and audiobook narrator known for narrating Naomi Novik’s fantasy novel *A Deadly Education*.
  • E. Shruti Acharya
    Shruti Acharya is a central junior doctor character in Adam Kay’s medical memoir and TV adaptation "This Is Going to Hurt," depicting the emotional and professional challenges of working in the NHS.
  • 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: Hrishitaa Bhatt
Triple: [Dil Vil Pyar Vyar, hasCastMember, Hrishitaa Bhatt]
Generated description
Hrishitaa Bhatt is an Indian actress and model known for her work in Hindi films, particularly in the early 2000s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hrishitaa Bhatt
Target entity description: Hrishitaa Bhatt is an Indian actress and model known for her work in Hindi films, particularly in the early 2000s.
  • A. Geetika Jain
    Geetika Jain is known as the wife of the late Anshu Jain, the former co-CEO of Deutsche Bank.
  • B. Shivani Rawat
    Shivani Rawat is an Indian-American film producer and founder of ShivHans Pictures, known for backing acclaimed independent films such as Trumbo and Captain Fantastic.
  • C. Rima Jain
    Rima Jain is an Indian film industry personality and member of the prominent Kapoor family, known as the daughter of legendary actor-filmmaker Raj Kapoor.
  • D. Anisha Dadia
    Anisha Dadia is a voice actor and audiobook narrator known for narrating Naomi Novik’s fantasy novel *A Deadly Education*.
  • E. Shruti Acharya
    Shruti Acharya is a central junior doctor character in Adam Kay’s medical memoir and TV adaptation "This Is Going to Hurt," depicting the emotional and professional challenges of working in the NHS.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a44ecf48190ba5a3872af500dc8 completed April 20, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_6a089d279cb08190a3bb2b8e72cc066d completed May 16, 2026, 4:36 p.m.
NEDg Description generation batch_6a089db22fcc819094d595a3ce4e19a6 completed May 16, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_6a089e4c21d88190a6c1ddf8e0879cb1 completed May 16, 2026, 4:41 p.m.
Created at: April 16, 2026, 11:30 a.m.