Triple

T16183352
Position Surface form Disambiguated ID Type / Status
Subject Jo Jeeta Wohi Sikandar E392738 entity
Predicate starring P1507 FINISHED
Object Deven Bhojani E1201178 NE FINISHED

How this triple was built (2 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: Deven Bhojani | Statement: [Jo Jeeta Wohi Sikandar, starring, Deven Bhojani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deven Bhojani
Context triple: [Jo Jeeta Wohi Sikandar, starring, Deven Bhojani]
  • A. Deven Bhojani chosen
    Deven Bhojani is an Indian actor and director best known for his work in Hindi television comedies and character roles in films.
  • B. Shaan Hathiramani
    Shaan Hathiramani is an entrepreneur best known as a co-founder of the mobile video-sharing app Socialcam.
  • C. Manish Dayal
    Manish Dayal is an American actor best known for his leading role in the film "The Hundred-Foot Journey" and for his work in television series such as "The Resident."
  • D. Karan Patel
    Karan Patel is an Indian television actor best known for his role as Raman Bhalla in the popular Hindi TV series "Yeh Hai Mohabbatein."
  • E. Karan Soni
    Karan Soni is an Indian-American actor best known for his comedic roles in film and television, including his recurring portrayal of the anxious taxi driver Dopinder in the Deadpool franchise.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: April 10, 2026, 5:02 a.m.