Triple

T21944585
Position Surface form Disambiguated ID Type / Status
Subject Karwaan E541902 entity
Predicate starring P1507 FINISHED
Object Mithila Palkar 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: Mithila Palkar | Statement: [Karwaan, starring, Mithila Palkar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mithila Palkar
Context triple: [Karwaan, starring, Mithila Palkar]
  • A. Mithila Palkar chosen
    Mithila Palkar is an Indian actress and singer known for her work in Hindi films and popular web series, as well as for her viral Marathi cup song.
  • B. Bhagirathi Sapre
    Bhagirathi Sapre was the mother of Rani Lakshmibai, the famed warrior queen of Jhansi who became a symbol of resistance during the Indian Rebellion of 1857.
  • C. Rewa Bagheli
    Rewa Bagheli is a regional Indo-Aryan language variety spoken primarily in and around the Rewa region of Madhya Pradesh in central India.
  • D. 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.
  • E. Kumud Mishra
    Kumud Mishra is an Indian film and theatre actor known for his versatile supporting roles in Hindi cinema, including notable performances in movies like Rockstar, Airlift, and Article 15.
  • 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_69f1242688988190a7b8f033c49368de completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:56 p.m.