Triple

T16183498
Position Surface form Disambiguated ID Type / Status
Subject Sarfarosh E392741 entity
Predicate cinematographyBy P1953 FINISHED
Object Vikas Sivaraman
Vikas Sivaraman is an Indian cinematographer known for his work on acclaimed Hindi films, including the 1999 action drama "Sarfarosh."
E1201183 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: Vikas Sivaraman | Statement: [Sarfarosh, cinematographyBy, Vikas Sivaraman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vikas Sivaraman
Context triple: [Sarfarosh, cinematographyBy, Vikas Sivaraman]
  • A. Vijay Shankar
    Vijay Shankar is an Indian all-round cricketer who has represented India in limited-overs internationals and plays domestic cricket for Tamil Nadu.
  • B. Vijay Vasudevan
    Vijay Vasudevan is a computer scientist known for his work in machine learning and systems research, including co-authoring influential papers with Christian Szegedy.
  • C. Ashwanth Ashokkumar
    Ashwanth Ashokkumar is an Indian child actor best known for his acclaimed performance in the Tamil film "Super Deluxe."
  • D. Srinivas Mohan
    Srinivas Mohan is an acclaimed Indian visual effects supervisor known for his pioneering VFX work in major South Indian films.
  • E. Ravi Iyer
    Ravi Iyer is a prominent computer scientist recognized for his influential contributions to performance evaluation and computer systems, honored with the ACM SIGMETRICS Achievement Award.
  • 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: Vikas Sivaraman
Triple: [Sarfarosh, cinematographyBy, Vikas Sivaraman]
Generated description
Vikas Sivaraman is an Indian cinematographer known for his work on acclaimed Hindi films, including the 1999 action drama "Sarfarosh."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vikas Sivaraman
Target entity description: Vikas Sivaraman is an Indian cinematographer known for his work on acclaimed Hindi films, including the 1999 action drama "Sarfarosh."
  • A. Vijay Shankar
    Vijay Shankar is an Indian all-round cricketer who has represented India in limited-overs internationals and plays domestic cricket for Tamil Nadu.
  • B. Vijay Vasudevan
    Vijay Vasudevan is a computer scientist known for his work in machine learning and systems research, including co-authoring influential papers with Christian Szegedy.
  • C. Ashwanth Ashokkumar
    Ashwanth Ashokkumar is an Indian child actor best known for his acclaimed performance in the Tamil film "Super Deluxe."
  • D. Srinivas Mohan
    Srinivas Mohan is an acclaimed Indian visual effects supervisor known for his pioneering VFX work in major South Indian films.
  • E. Ravi Iyer
    Ravi Iyer is a prominent computer scientist recognized for his influential contributions to performance evaluation and computer systems, honored with the ACM SIGMETRICS Achievement Award.
  • 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_6a0007899b408190abcb7e72bdc81e9d completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a000900bfbc8190b21eb513838759a9 completed May 10, 2026, 4:26 a.m.
NED2 Entity disambiguation (via description) batch_6a000a0fc93c819088d9233aaa5e2017 completed May 10, 2026, 4:31 a.m.
Created at: April 10, 2026, 5:02 a.m.