Triple

T21428641
Position Surface form Disambiguated ID Type / Status
Subject Akshay Kumar E528625 entity
Predicate child P120 FINISHED
Object Nitara Kumar 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: Nitara Kumar | Statement: [Akshay Kumar, child, Nitara Kumar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nitara Kumar
Context triple: [Akshay Kumar, child, Nitara Kumar]
  • A. Nitara Kumar chosen
    Nitara Kumar is the daughter of Indian author and former actress Twinkle Khanna and Bollywood actor Akshay Kumar.
  • B. Nilima Sinha
    Nilima Sinha is an Indian writer of children’s and young adult literature, known for her mystery and adventure novels.
  • C. Sukanya Rajan
    Sukanya Rajan is the widow of legendary Indian sitar virtuoso Ravi Shankar and the mother of musician Anoushka Shankar.
  • D. Kanika Banerjee
    Kanika Banerjee was a renowned Indian Rabindra Sangeet vocalist celebrated for her emotive interpretations of Rabindranath Tagore’s songs.
  • E. Sumedha Kailash
    Sumedha Kailash is an Indian child rights activist known for her work alongside her husband, Nobel laureate Kailash Satyarthi, in rescuing and rehabilitating bonded and exploited children.
  • 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_69e0c455f3688190810bc96365791b0f completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee813db52c8190ac933bc6ec4dbf77 completed April 26, 2026, 9:18 p.m.
Created at: April 16, 2026, 5:49 p.m.