Triple

T3094211
Position Surface form Disambiguated ID Type / Status
Subject Alexei Efros E64553 entity
Predicate influencedBy P9 FINISHED
Object Jitendra Malik E329214 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: Jitendra Malik | Statement: [Alexei Efros, influencedBy, Jitendra Malik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jitendra Malik
Context triple: [Alexei Efros, influencedBy, Jitendra Malik]
  • A. Jitendra Malik chosen
    Jitendra Malik is a prominent computer scientist known for his influential work in computer vision and machine learning, and for mentoring leading researchers in the field.
  • B. Yogendra Shukla
    Yogendra Shukla was an Indian freedom fighter and revolutionary leader associated with the independence movement against British colonial rule.
  • C. Tinku Jain
    Tinku Jain is known as the spouse of Ajit Jain, the prominent Berkshire Hathaway insurance executive and close associate of Warren Buffett.
  • D. Vijay Kumar
    Vijay Kumar is a prominent roboticist and engineer known for his pioneering work in multi-robot systems and aerial robotics.
  • E. Sanjay Suri
    Sanjay Suri is an Indian actor and film producer known for his work in Hindi cinema and independent films.
  • 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_69ad857c97d88190b26f9b1c90839c77 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada239a8c88190a746892b56ee7e02 completed March 8, 2026, 4:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b224bff19c8190b28c07e3fb018853 completed March 12, 2026, 2:28 a.m.
Created at: March 8, 2026, 3:03 p.m.