Triple

T7660254
Position Surface form Disambiguated ID Type / Status
Subject Tollywood E173485 entity
Predicate hasNotableActor P17435 FINISHED
Object Kajal Gupta
Kajal Gupta is an actress known for her work in Tollywood, the Bengali-language film industry based in Kolkata.
E679431 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: Kajal Gupta | Statement: [Tollywood, hasNotableActor, Kajal Gupta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kajal Gupta
Context triple: [Tollywood, hasNotableActor, Kajal Gupta]
  • A. Kajal Aggarwal
    Kajal Aggarwal is a popular Indian actress best known for her leading roles in Telugu and Tamil cinema, as well as appearances in Hindi films.
  • B. Shefali Chowdhury
    Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
  • C. Anasuya Bharadwaj
    Anasuya Bharadwaj is an Indian television presenter and actress known for her work in Telugu films and TV, including a notable role in the blockbuster film "Pushpa: The Rise."
  • D. Nikita Gill
    Nikita Gill is a contemporary British-Indian poet and writer known for her emotionally resonant, feminist poetry and modern retellings of myths and fairy tales.
  • E. Mohini Bhardwaj
    Mohini Bhardwaj is an American artistic gymnast best known as a 2004 Olympic silver medalist and standout collegiate competitor for UCLA.
  • 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: Kajal Gupta
Triple: [Tollywood, hasNotableActor, Kajal Gupta]
Generated description
Kajal Gupta is an actress known for her work in Tollywood, the Bengali-language film industry based in Kolkata.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kajal Gupta
Target entity description: Kajal Gupta is an actress known for her work in Tollywood, the Bengali-language film industry based in Kolkata.
  • A. Kajal Aggarwal
    Kajal Aggarwal is a popular Indian actress best known for her leading roles in Telugu and Tamil cinema, as well as appearances in Hindi films.
  • B. Shefali Chowdhury
    Shefali Chowdhury is a British actress best known for playing Parvati Patil in the Harry Potter film series.
  • C. Anasuya Bharadwaj
    Anasuya Bharadwaj is an Indian television presenter and actress known for her work in Telugu films and TV, including a notable role in the blockbuster film "Pushpa: The Rise."
  • D. Nikita Gill
    Nikita Gill is a contemporary British-Indian poet and writer known for her emotionally resonant, feminist poetry and modern retellings of myths and fairy tales.
  • E. Mohini Bhardwaj
    Mohini Bhardwaj is an American artistic gymnast best known as a 2004 Olympic silver medalist and standout collegiate competitor for UCLA.
  • 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_69c69955517c819085bc715b96d304d2 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701a47a5c8190867e39f552c86787 completed March 27, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89b14b6848190892a262903d78b79 completed March 29, 2026, 3:23 a.m.
NEDg Description generation batch_69c89becbf148190b1f065f4016a6d03 completed March 29, 2026, 3:26 a.m.
NED2 Entity disambiguation (via description) batch_69c89cc3a3788190bd91aa0995b96c26 completed March 29, 2026, 3:30 a.m.
Created at: March 27, 2026, 3:59 p.m.