Triple

T5178563
Position Surface form Disambiguated ID Type / Status
Subject Ashfaqulla Khan E116859 entity
Predicate workedWith P398 FINISHED
Object Rajendra Lahiri E125301 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: Rajendra Lahiri | Statement: [Ashfaqulla Khan, workedWith, Rajendra Lahiri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajendra Lahiri
Context triple: [Ashfaqulla Khan, workedWith, Rajendra Lahiri]
  • A. Rajendra Lahiri chosen
    Rajendra Lahiri was an Indian revolutionary freedom fighter associated with the Hindustan Socialist Republican Association, known for his role in anti-British activities during the independence movement.
  • B. Nripendra Misra
    Nripendra Misra is an Indian civil servant and former top bureaucrat who served as a key aide and principal advisor to Prime Minister Narendra Modi.
  • C. Taraknath Bose
    Taraknath Bose was an Indian revolutionary associated with the early nationalist and anti-colonial movements against British rule.
  • D. B. N. Chakravarty
    B. N. Chakravarty was an Indian civil servant and administrator who served as a Governor in the Republic of India.
  • E. Pradip Bose
    Pradip Bose is a computer engineer and researcher known for his contributions to microprocessor architecture and performance analysis, particularly at IBM.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7976339481909ece900de22064f2 completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06ac60448190a2e97a4df03863ea completed March 21, 2026, 8:59 p.m.
Created at: March 20, 2026, 1:45 p.m.