Triple

T7958412
Position Surface form Disambiguated ID Type / Status
Subject Resistance E184798 entity
Predicate author P4 FINISHED
Object Samit Basu E184798 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: Samit Basu | Statement: [Resistance, author, Samit Basu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samit Basu
Context triple: [Resistance, author, Samit Basu]
  • A. Samit Basu chosen
    Samit Basu is an Indian author and filmmaker best known for his speculative fiction and fantasy novels, including the GameWorld trilogy and the superhero novel "Turbulence."
  • B. Arjun Sengupta
    Arjun Sengupta was an Indian economist, diplomat, and politician known for his work on human rights, poverty, and the informal economy, including serving as UN Special Rapporteur on the Right to Development.
  • C. Bijon Bhattacharya
    Bijon Bhattacharya was a prominent Indian playwright and actor associated with the Indian People's Theatre Association and known for his socially conscious Bengali dramas.
  • D. Boria Majumdar
    Boria Majumdar is an Indian sports historian, journalist, and author known for his extensive writings on cricket and its cultural and political significance.
  • E. Mihir Rakshit
    Mihir Rakshit is an Indian economist known for his contributions to macroeconomic theory and policy analysis, and for his long association with leading academic institutions in India.
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b7ebb24819094bc011d51ef63fb completed March 31, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd33cf48188190b57ac2fb1dbfa771 completed April 1, 2026, 3:03 p.m.
Created at: March 30, 2026, 5:11 p.m.