Triple

T1529186
Position Surface form Disambiguated ID Type / Status
Subject Bengali cinema E32401 entity
Predicate hasNotableFilm P26606 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: [Bengali cinema, hasNotableFilm, Mahanagar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahanagar
Context triple: [Bengali cinema, hasNotableFilm, 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. 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.
  • C. Samyabadi
    Samyabadi is a revolutionary Bengali poem by Kazi Nazrul Islam that powerfully expresses themes of equality, rebellion, and social justice.
  • D. Indraprastha
    Indraprastha is the legendary capital city of the Pandavas in the Indian epic Mahabharata, often identified with the region of present-day Delhi.
  • E. Kausalya Nagar
    Kausalya Nagar is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb1dfd1a48190804ca5f0fb6f5985 completed March 7, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad309188508190840af75bfa357bfb completed March 8, 2026, 8:17 a.m.
Created at: March 4, 2026, 7:26 p.m.