Triple

T16183496
Position Surface form Disambiguated ID Type / Status
Subject Sarfarosh E392741 entity
Predicate starring P1507 FINISHED
Object Smita Jaykar
Smita Jaykar is an Indian film and television actress known for her character roles, often portraying maternal figures, in numerous Hindi and Marathi productions.
E1202681 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: Smita Jaykar | Statement: [Sarfarosh, starring, Smita Jaykar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smita Jaykar
Context triple: [Sarfarosh, starring, Smita Jaykar]
  • A. Smita Patil
    Smita Patil was a critically acclaimed Indian actress known for her powerful performances in parallel cinema during the 1970s and 1980s.
  • B. Nadira Babbar
    Nadira Babbar is an Indian theatre director and actress known for her work in Hindi cinema and on stage, including a role in the film "Bride and Prejudice."
  • C. Nandita Puri
    Nandita Puri is an Indian journalist and author best known for her biography of her late husband, acclaimed actor Om Puri.
  • D. Anu Khosla
    Anu Khosla is one of the children of Indian-American billionaire venture capitalist and Sun Microsystems co-founder Vinod Khosla.
  • E. Anuradha Paudwal
    Anuradha Paudwal is a renowned Indian playback and devotional singer celebrated for her extensive work in Hindi cinema and bhajans since the 1970s.
  • 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: Smita Jaykar
Triple: [Sarfarosh, starring, Smita Jaykar]
Generated description
Smita Jaykar is an Indian film and television actress known for her character roles, often portraying maternal figures, in numerous Hindi and Marathi productions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Smita Jaykar
Target entity description: Smita Jaykar is an Indian film and television actress known for her character roles, often portraying maternal figures, in numerous Hindi and Marathi productions.
  • A. Smita Patil
    Smita Patil was a critically acclaimed Indian actress known for her powerful performances in parallel cinema during the 1970s and 1980s.
  • B. Nadira Babbar
    Nadira Babbar is an Indian theatre director and actress known for her work in Hindi cinema and on stage, including a role in the film "Bride and Prejudice."
  • C. Nandita Puri
    Nandita Puri is an Indian journalist and author best known for her biography of her late husband, acclaimed actor Om Puri.
  • D. Anu Khosla
    Anu Khosla is one of the children of Indian-American billionaire venture capitalist and Sun Microsystems co-founder Vinod Khosla.
  • E. Anuradha Paudwal
    Anuradha Paudwal is a renowned Indian playback and devotional singer celebrated for her extensive work in Hindi cinema and bhajans since the 1970s.
  • 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_69d87f1e49ac8190a311b54d32990576 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e2205ef39081908da383abdebc2ccc completed April 17, 2026, 11:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a000ecd897c81908cbea306c9f95da3 completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a000fbc8374819089ea5ecf06339d0c completed May 10, 2026, 4:55 a.m.
NED2 Entity disambiguation (via description) batch_6a001057f9088190925492033bcd4c8d completed May 10, 2026, 4:58 a.m.
Created at: April 10, 2026, 5:02 a.m.