Triple

T18724595
Position Surface form Disambiguated ID Type / Status
Subject Pranav Shyam E457864 entity
Predicate coAuthorWith P398 FINISHED
Object Arvind Neelakantan NE NERFINISHED

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: Arvind Neelakantan | Statement: [Pranav Shyam, coAuthorWith, Arvind Neelakantan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arvind Neelakantan
Context triple: [Pranav Shyam, coAuthorWith, Arvind Neelakantan]
  • A. Arvind Neelakantan chosen
    Arvind Neelakantan is a researcher in artificial intelligence and machine learning known for his work on large language models and neural network architectures.
  • B. Kris Gopalakrishnan
    Kris Gopalakrishnan is an Indian billionaire businessman and co-founder of Infosys, one of the country’s largest IT services companies.
  • C. 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.
  • D. Anand Rajaraman
    Anand Rajaraman is an entrepreneur, academic, and computer scientist known for his work in data mining, web search, and co-authoring the influential textbook "Mining of Massive Datasets."
  • E. Ravi K. Chandran
    Ravi K. Chandran is an acclaimed Indian cinematographer known for his visually striking work across Hindi and Tamil cinema.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d72d2c4819080b0d31860976b5e completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:50 a.m.