Triple

T11102565
Position Surface form Disambiguated ID Type / Status
Subject Kapur E262548 entity
Predicate notableBearer P458 FINISHED
Object Annu Kapoor
Annu Kapoor is an Indian film and television actor, radio host, and television presenter known for his character roles and work on shows like "Antakshari."
E909627 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: Annu Kapoor | Statement: [Kapur, notableBearer, Annu Kapoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Annu Kapoor
Context triple: [Kapur, notableBearer, Annu Kapoor]
  • A. Anu Khosla
    Anu Khosla is one of the children of Indian-American billionaire venture capitalist and Sun Microsystems co-founder Vinod Khosla.
  • B. Neha Kapur
    Neha Kapur is an Indian model, former Miss India Universe 2006, and fashion entrepreneur.
  • C. Sunita Kapoor
    Sunita Kapoor is an Indian former model and costume designer best known as the wife of Bollywood actor Anil Kapoor and the matriarch of the Kapoor family, including actress Sonam Kapoor.
  • D. Seema Kapoor
    Seema Kapoor is an Indian television and film actress and director, known for her work in Hindi entertainment and her marriage to the late actor Om Puri.
  • E. Juhi Chawla
    Juhi Chawla is a popular Indian actress and film producer known for her work in Hindi cinema since the late 1980s.
  • 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: Annu Kapoor
Triple: [Kapur, notableBearer, Annu Kapoor]
Generated description
Annu Kapoor is an Indian film and television actor, radio host, and television presenter known for his character roles and work on shows like "Antakshari."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Annu Kapoor
Target entity description: Annu Kapoor is an Indian film and television actor, radio host, and television presenter known for his character roles and work on shows like "Antakshari."
  • A. Anu Khosla
    Anu Khosla is one of the children of Indian-American billionaire venture capitalist and Sun Microsystems co-founder Vinod Khosla.
  • B. Neha Kapur
    Neha Kapur is an Indian model, former Miss India Universe 2006, and fashion entrepreneur.
  • C. Sunita Kapoor
    Sunita Kapoor is an Indian former model and costume designer best known as the wife of Bollywood actor Anil Kapoor and the matriarch of the Kapoor family, including actress Sonam Kapoor.
  • D. Seema Kapoor
    Seema Kapoor is an Indian television and film actress and director, known for her work in Hindi entertainment and her marriage to the late actor Om Puri.
  • E. Juhi Chawla
    Juhi Chawla is a popular Indian actress and film producer known for her work in Hindi cinema since the late 1980s.
  • 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_69d6aa9a40d88190a373e2c7e48285db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79a2c30a481908c45020c37caebe4 completed April 9, 2026, 12:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4833c0fdc8190935ae33eefae8e0c completed April 19, 2026, 7:24 a.m.
NEDg Description generation batch_69e485f46f0c81908dbe5b47322ab7b7 completed April 19, 2026, 7:36 a.m.
NED2 Entity disambiguation (via description) batch_69e4878dd95c81908ceaf91ee46f49c1 completed April 19, 2026, 7:43 a.m.
Created at: April 8, 2026, 9:27 p.m.