Triple

T22508665
Position Surface form Disambiguated ID Type / Status
Subject Prithi Chand E556457 entity
Predicate sibling P363 FINISHED
Object Mahadev NE NERFINISHED

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: Mahadev | Statement: [Prithi Chand, sibling, Mahadev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahadev
Context triple: [Prithi Chand, sibling, Mahadev]
  • A. Mahadev
    Mahadev is the naive yet well-meaning aspiring writer who serves as the central protagonist and narrator in the satirical Hindi film "Welcome to Sajjanpur."
  • B. Vaidyanath
    Vaidyanath is a revered form of the Hindu god Shiva worshipped as the divine healer and lord of physicians.
  • C. Vighneshvara
    Vighneshvara is a prominent form of the Hindu god Ganesha, revered as the remover of obstacles and patron of beginnings and wisdom.
  • D. Mahadeva chosen
    Mahadeva is a principal form of the Hindu god Shiva, revered as the supreme deity and great lord in Shaivism.
  • E. Kedarnath Shiva
    Kedarnath Shiva is a revered Himalayan form of Lord Shiva worshipped at the Kedarnath Temple, one of the holiest pilgrimage sites in Hinduism and part of the Char Dham and Jyotirlinga traditions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5ebe5881908a22d519128415f2 completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.