Triple

T4664885
Position Surface form Disambiguated ID Type / Status
Subject Tatya Tope E102821 entity
Predicate alliedWith P37 FINISHED
Object Nana Sahib E13286 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: Nana Sahib | Statement: [Tatya Tope, alliedWith, Nana Sahib]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nana Sahib
Context triple: [Tatya Tope, alliedWith, Nana Sahib]
  • A. Nana Sahib chosen
    Nana Sahib was a prominent Indian aristocrat and leader who played a key role in directing rebel forces against British rule during the Indian Rebellion of 1857.
  • B. Harkha Bai
    Harkha Bai, better known by her royal title Mariam-uz-Zamani, was a Rajput princess who became a prominent Mughal empress as the wife of Emperor Akbar and mother of Jahangir.
  • C. Laxmibai
    Laxmibai was the wife of the renowned Kannada poet and Jnanpith awardee D. R. Bendre.
  • D. Lal Bai
    Lal Bai was the mother of Bahadur Shah II, the last Mughal emperor of India.
  • E. Gopikabai
    Gopikabai was the wife of Peshwa Balaji Baji Rao and a prominent Maratha noblewoman known for her influence in 18th-century Maratha politics.
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd633aeba88190a8329ed022d685b6 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03803a948190b6dc2a03bb9cdc93 completed March 21, 2026, 2:33 a.m.
Created at: March 20, 2026, 1:15 p.m.