Triple

T1031893
Position Surface form Disambiguated ID Type / Status
Subject Nathuram Godse E22270 entity
Predicate coConspirator P6701 FINISHED
Object Narayan Apte E103333 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: Narayan Apte | Statement: [Nathuram Godse, coConspirator, Narayan Apte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narayan Apte
Context triple: [Nathuram Godse, coConspirator, Narayan Apte]
  • A. Narayan Apte chosen
    Narayan Apte was an Indian nationalist and co-conspirator in the assassination of Mahatma Gandhi, executed for his role in the plot.
  • B. Dilip Hiro
    Dilip Hiro is a British-based Indian author, journalist, and commentator known for his extensive writings on Middle Eastern politics, South Asia, and global geopolitics.
  • C. Narhari Parikh
    Narhari Parikh was an Indian freedom fighter, social worker, and close associate of Mahatma Gandhi who played a significant role in early Gandhian movements and rural reform.
  • D. Shankar Sastry
    Shankar Sastry is a prominent control theorist and engineer known for his influential contributions to control systems, robotics, and cyber-physical systems, as well as his leadership roles in academia.
  • E. Natarajan Shankar
    Natarajan Shankar is a computer scientist known for his contributions to automated reasoning and formal methods, particularly in theorem proving and verification.
  • 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_69a493d848848190aed4011b34b2e8d3 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b811916481908c05c2dd5ec802ec completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac429675bc8190b2467ac86c41c3b5 completed March 7, 2026, 3:21 p.m.
Created at: March 1, 2026, 7:41 p.m.