Triple

T21943943
Position Surface form Disambiguated ID Type / Status
Subject Paan Singh Tomar E541888 entity
Predicate editedBy P1954 FINISHED
Object Aarti Bajaj 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: Aarti Bajaj | Statement: [Paan Singh Tomar, editedBy, Aarti Bajaj]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aarti Bajaj
Context triple: [Paan Singh Tomar, editedBy, Aarti Bajaj]
  • A. Aarti Bajaj chosen
    Aarti Bajaj is an acclaimed Indian film editor known for her work on numerous prominent Hindi films, including collaborations with leading contemporary directors.
  • B. Neerja Birla
    Neerja Birla is an Indian mental health advocate, educationist, and philanthropist who founded the Mpower initiative to promote mental wellness and reduce stigma in India.
  • C. Smita Crishna-Godrej
    Smita Crishna-Godrej is an Indian industrialist and billionaire heiress known for her significant stake in the Godrej Group and her prominence among India’s wealthiest women.
  • D. Nisa Godrej
    Nisa Godrej is an Indian business executive and member of the Godrej family, known for her leadership roles within the Godrej Group conglomerate.
  • E. Seema Sisodia
    Seema Sisodia is the wife of Indian politician and former Delhi Deputy Chief Minister Manish Sisodia.
  • 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_69e0c47e2e5c81909a7f74ce3de50911 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1242515ec8190b015bf8c7b13be85 completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:56 p.m.