Triple

T7772303
Position Surface form Disambiguated ID Type / Status
Subject Madhabi Mukherjee E179100 entity
Predicate notableWork P4 FINISHED
Object Mahanagar E165974 NE FINISHED

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: Mahanagar | Statement: [Madhabi Mukherjee, notableWork, Mahanagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahanagar
Context triple: [Madhabi Mukherjee, notableWork, Mahanagar]
  • A. Mahanagar chosen
    Mahanagar is a 1963 Bengali drama film by Satyajit Ray that explores the social and familial tensions arising when a middle-class housewife takes up employment in Calcutta.
  • B. Nagar
    Nagar is a town in India’s historic Braj region, an area closely associated with the life and legends of Lord Krishna.
  • C. Shehri
    Shehri is a Modern South Arabian language spoken primarily by indigenous communities in southern Oman and parts of eastern Yemen.
  • D. Kota
    Kota is a major industrial and educational city in southeastern Rajasthan, India, known for its coaching institutes and power plants along the Chambal River.
  • E. Samyabadi
    Samyabadi is a revolutionary Bengali poem by Kazi Nazrul Islam that powerfully expresses themes of equality, rebellion, and social justice.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7046048688190a6cbc64e82b58eca completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7ee407881908e591d216c504b24 completed March 29, 2026, 6:34 a.m.
Created at: March 27, 2026, 4:11 p.m.