Triple

T6540552
Position Surface form Disambiguated ID Type / Status
Subject Allu Arjun E168274 entity
Predicate spouse P13 FINISHED
Object Sneha Reddy
Sneha Reddy is an Indian celebrity and entrepreneur best known as the wife of Telugu film star Allu Arjun.
E604203 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: Sneha Reddy | Statement: [Allu Arjun, spouse, Sneha Reddy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sneha Reddy
Context triple: [Allu Arjun, spouse, Sneha Reddy]
  • A. Nithya Raman
    Nithya Raman is an urban planner and progressive politician who serves on the Los Angeles City Council, known for her focus on homelessness, housing, and social justice issues.
  • B. Shefali Chowdhury
    Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
  • C. Sonali Kulkarni
    Sonali Kulkarni is an acclaimed Indian actress known for her versatile performances across Marathi and Hindi cinema, as well as in international films.
  • D. Sandhini Agarwal
    Sandhini Agarwal is an AI researcher known for her work at OpenAI on safety, policy, and the development and deployment of large-scale models such as CLIP.
  • E. Kanika Banerjee
    Kanika Banerjee was a renowned Indian Rabindra Sangeet vocalist celebrated for her emotive interpretations of Rabindranath Tagore’s songs.
  • 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: Sneha Reddy
Triple: [Allu Arjun, spouse, Sneha Reddy]
Generated description
Sneha Reddy is an Indian celebrity and entrepreneur best known as the wife of Telugu film star Allu Arjun.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sneha Reddy
Target entity description: Sneha Reddy is an Indian celebrity and entrepreneur best known as the wife of Telugu film star Allu Arjun.
  • A. Nithya Raman
    Nithya Raman is an urban planner and progressive politician who serves on the Los Angeles City Council, known for her focus on homelessness, housing, and social justice issues.
  • B. Shefali Chowdhury
    Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
  • C. Sonali Kulkarni
    Sonali Kulkarni is an acclaimed Indian actress known for her versatile performances across Marathi and Hindi cinema, as well as in international films.
  • D. Sandhini Agarwal
    Sandhini Agarwal is an AI researcher known for her work at OpenAI on safety, policy, and the development and deployment of large-scale models such as CLIP.
  • E. Kanika Banerjee
    Kanika Banerjee was a renowned Indian Rabindra Sangeet vocalist celebrated for her emotive interpretations of Rabindranath Tagore’s songs.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add7369c8190919cd7c07012a994 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d53edf108190b74098b41c143a65 completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d6aba9688190ada4f921768e314e completed March 27, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_69c6d837a5248190b0afb39174ac3922 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:50 p.m.