Triple

T7037105
Position Surface form Disambiguated ID Type / Status
Subject Shyama Prasad Mukherjee E163411 entity
Predicate familyName P18 FINISHED
Object Mukherjee E587195 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: Mukherjee | Statement: [Shyama Prasad Mukherjee, familyName, Mukherjee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mukherjee
Context triple: [Shyama Prasad Mukherjee, familyName, Mukherjee]
  • A. Mukherjee chosen
    Mukherjee is a common Bengali surname originating from India, traditionally associated with the Brahmin community and widely borne by notable figures in politics, academia, and the arts.
  • B. Ghosh
    Ghosh is a common Indian Bengali surname historically associated with Hindu communities, particularly in the regions of West Bengal and Bangladesh.
  • C. Sengupta
    Sengupta is a common Bengali surname originating from the Indian subcontinent, traditionally associated with Bengali Hindu communities.
  • D. Dasgupta
    Dasgupta is a common Indian surname, particularly among Bengali communities, associated with numerous notable figures in academia, arts, and public life.
  • E. Swarup
    Swarup is an Indian given name commonly used for males, derived from Sanskrit and generally meaning "form" or "true nature."
  • 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_69c6885e7c1c8190be32a8f79ab4e0cf completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e221a7988190b6b69782a275abb7 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775a6e1a08190af7d121cb854118e completed March 28, 2026, 6:31 a.m.
Created at: March 27, 2026, 2:36 p.m.