Triple

T22292179
Position Surface form Disambiguated ID Type / Status
Subject Shwaas E551024 entity
Predicate castMember P1668 FINISHED
Object Ashwin Chitale 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: Ashwin Chitale | Statement: [Shwaas, castMember, Ashwin Chitale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashwin Chitale
Context triple: [Shwaas, castMember, Ashwin Chitale]
  • A. Ashwin Chitale chosen
    Ashwin Chitale is an Indian actor best known for his acclaimed child role in the National Award–winning Marathi film "Shwaas."
  • B. Ramesh Tawadkar
    Ramesh Tawadkar is an Indian politician from Goa who serves as the Speaker of the Goa Legislative Assembly and is associated with the Bharatiya Janata Party (BJP).
  • C. Achyut Potdar
    Achyut Potdar is an Indian character actor known for his numerous supporting roles in Hindi films and television.
  • D. Mohan Agashe
    Mohan Agashe is an Indian actor and psychiatrist known for his acclaimed performances in parallel cinema and mainstream Hindi and Marathi films.
  • E. Narayan Rane
    Narayan Rane is an Indian politician and former Chief Minister of Maharashtra who has served in various state and national government roles.
  • 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_69e11e45fb848190a1b2ae21296e3a5f completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1560d1ec48190ab86f158c94b677b completed April 29, 2026, 12:51 a.m.
Created at: April 16, 2026, 8:41 p.m.