Triple

T8391638
Position Surface form Disambiguated ID Type / Status
Subject Rajesh Koothrappali E197956 entity
Predicate portrayedBy P1507 FINISHED
Object Kunal Nayyar E193357 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: Kunal Nayyar | Statement: [Rajesh Koothrappali, portrayedBy, Kunal Nayyar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunal Nayyar
Context triple: [Rajesh Koothrappali, portrayedBy, Kunal Nayyar]
  • A. Kunal Nayyar chosen
    Kunal Nayyar is a British-Indian actor best known for playing the socially awkward astrophysicist Rajesh Koothrappali on the hit sitcom "The Big Bang Theory."
  • B. Manish Bhasin
    Manish Bhasin is a British sports journalist and television presenter best known for his long-running work on BBC football coverage.
  • C. 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.
  • D. Anurag Behar
    Anurag Behar is an Indian educationist and social sector leader best known for heading the Azim Premji Foundation and contributing to large-scale education reform in India.
  • E. Sanjay Kapoor
    Sanjay Kapoor is an Indian film and television actor and producer known for his work in Hindi cinema since the 1990s.
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb810e16b081908e2c25bfb9d590ed completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde84d6f3c8190ba12905ba5900087 completed April 2, 2026, 3:53 a.m.
Created at: March 30, 2026, 6:03 p.m.