Triple

T7730289
Position Surface form Disambiguated ID Type / Status
Subject Apur Sansar E175230 entity
Predicate producer P490 FINISHED
Object Satyajit Ray E30576 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: Satyajit Ray | Statement: [Apur Sansar, producer, Satyajit Ray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satyajit Ray
Context triple: [Apur Sansar, producer, Satyajit Ray]
  • A. Satyajit Ray chosen
    Satyajit Ray was an acclaimed Indian filmmaker, writer, and artist from Bengal, renowned worldwide for his pioneering contributions to cinema and his profound influence on modern Indian culture.
  • B. Satyajit Sen
    Satyajit Sen is an individual notable enough to be recognized as a distinguished bearer of the surname Sen.
  • C. Ritwik Ghatak
    Ritwik Ghatak was a pioneering Indian filmmaker, screenwriter, and theorist whose stark, socially conscious films and innovative narrative style made him one of the most influential auteurs of Bengali and world cinema.
  • D. Mrinal Sen
    Mrinal Sen was a renowned Indian film director and a leading figure of parallel cinema, celebrated for his socially and politically charged films.
  • E. Rituparno Ghosh
    Rituparno Ghosh was an acclaimed Indian filmmaker, writer, and actor known for his sensitive, character-driven films that revitalized contemporary Bengali cinema and explored complex themes of gender, identity, and human relationships.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c703358cf881909df8496d943d6de7 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c925264798819096e154ffa23ddfae completed March 29, 2026, 1:12 p.m.
Created at: March 27, 2026, 4:06 p.m.