Triple

T18884895
Position Surface form Disambiguated ID Type / Status
Subject Prannoy Roy E461932 entity
Predicate spouse P13 FINISHED
Object Radhika Roy
Radhika Roy is an Indian media executive and co-founder of the news network NDTV.
E1348536 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: Radhika Roy | Statement: [Prannoy Roy, spouse, Radhika Roy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Radhika Roy
Context triple: [Prannoy Roy, spouse, Radhika Roy]
  • A. Rhea Kapoor
    Rhea Kapoor is an Indian film producer and fashion stylist known for producing Bollywood films like "Aisha" and "Veere Di Wedding" and for her work in celebrity styling.
  • B. Riya Sen
    Riya Sen is an Indian actress and model known for her work in Hindi, Bengali, and other regional films, as well as for her prominent presence in Indian popular culture and fashion.
  • C. Sanah Kapur
    Sanah Kapur is an Indian actress known for her supporting role in the film "Shaandaar" and for being part of the Kapur film family.
  • D. Shriya Saran
    Shriya Saran is an Indian actress and model known for her work in Telugu, Tamil, and Hindi cinema, appearing in numerous commercially successful and critically acclaimed films.
  • E. Kiara Advani
    Kiara Advani is an Indian film actress known for her work in Hindi and Telugu cinema, with notable roles in films like "Kabir Singh," "Shershaah," and "MS Dhoni: The Untold Story."
  • 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: Radhika Roy
Triple: [Prannoy Roy, spouse, Radhika Roy]
Generated description
Radhika Roy is an Indian media executive and co-founder of the news network NDTV.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Radhika Roy
Target entity description: Radhika Roy is an Indian media executive and co-founder of the news network NDTV.
  • A. Rhea Kapoor
    Rhea Kapoor is an Indian film producer and fashion stylist known for producing Bollywood films like "Aisha" and "Veere Di Wedding" and for her work in celebrity styling.
  • B. Riya Sen
    Riya Sen is an Indian actress and model known for her work in Hindi, Bengali, and other regional films, as well as for her prominent presence in Indian popular culture and fashion.
  • C. Sanah Kapur
    Sanah Kapur is an Indian actress known for her supporting role in the film "Shaandaar" and for being part of the Kapur film family.
  • D. Shriya Saran
    Shriya Saran is an Indian actress and model known for her work in Telugu, Tamil, and Hindi cinema, appearing in numerous commercially successful and critically acclaimed films.
  • E. Kiara Advani
    Kiara Advani is an Indian film actress known for her work in Hindi and Telugu cinema, with notable roles in films like "Kabir Singh," "Shershaah," and "MS Dhoni: The Untold Story."
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c3d53e608190b8740c092b6e1523 completed April 20, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0582b19ea081909438a6c7ba75316d completed May 14, 2026, 8:07 a.m.
NEDg Description generation batch_6a0589d4f0448190a054bf1beb1607c7 completed May 14, 2026, 8:37 a.m.
NED2 Entity disambiguation (via description) batch_6a058a7e4604819094e32ed3a6aeda47 completed May 14, 2026, 8:40 a.m.
Created at: April 10, 2026, 11:57 a.m.