Triple

T20417477
Position Surface form Disambiguated ID Type / Status
Subject Dil Vil Pyar Vyar E500749 entity
Predicate hasCastMember P2308 FINISHED
Object Vijayendra Ghatge 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: Vijayendra Ghatge | Statement: [Dil Vil Pyar Vyar, hasCastMember, Vijayendra Ghatge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vijayendra Ghatge
Context triple: [Dil Vil Pyar Vyar, hasCastMember, Vijayendra Ghatge]
  • A. Vijayendra Ghatge chosen
    Vijayendra Ghatge is an Indian film and television actor known for his character roles in Hindi cinema and popular TV serials.
  • B. Sunil Sukthankar
    Sunil Sukthankar is an acclaimed Indian filmmaker known for his influential work in contemporary Marathi cinema, often focusing on socially relevant and realistic themes.
  • C. Achyut Potdar
    Achyut Potdar is an Indian character actor known for his numerous supporting roles in Hindi films and television.
  • D. Shri Kulkarni
    Shri Kulkarni is an astrophysicist known for pioneering work in pulsar astronomy and the discovery of the first millisecond pulsar.
  • E. Upendra Shetty
    Upendra Shetty is a prominent film director known for his significant contributions to Tulu-language cinema.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a44ecf48190ba5a3872af500dc8 completed April 20, 2026, 7:11 p.m.
Created at: April 16, 2026, 11:30 a.m.