Triple

T7613871
Position Surface form Disambiguated ID Type / Status
Subject Sita Gandhi E172310 entity
Predicate relative P37 FINISHED
Object Ramdas Gandhi E66892 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: Ramdas Gandhi | Statement: [Sita Gandhi, relative, Ramdas Gandhi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ramdas Gandhi
Context triple: [Sita Gandhi, relative, Ramdas Gandhi]
  • A. Ramdas Gandhi chosen
    Ramdas Gandhi was one of Mahatma Gandhi and Kasturba Gandhi’s sons, known primarily for his association with his father’s political and social life.
  • B. Laxmidas Gandhi
    Laxmidas Gandhi was an elder brother of Mahatma Gandhi and a member of the Gandhi family from Porbandar, India.
  • C. Rajmohan Gandhi
    Rajmohan Gandhi is an Indian biographer, historian, and politician known for his works on the life and legacy of Mahatma Gandhi and the Indian independence movement.
  • D. Jagdish Mukhi
    Jagdish Mukhi is an Indian politician and Bharatiya Janata Party leader who has served in various gubernatorial and administrative roles in India.
  • E. Daulat Singh Kothari
    Daulat Singh Kothari was a prominent Indian physicist and educationist known for his contributions to theoretical physics and for shaping India’s post-independence science and education policy.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa418ef081908fd17ff367520995 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89aa7b264819096ddeda8e4c5ddb4 completed March 29, 2026, 3:21 a.m.
Created at: March 27, 2026, 3:55 p.m.