Triple

T5113326
Position Surface form Disambiguated ID Type / Status
Subject Satyajit Sen E115268 entity
Predicate name P16 FINISHED
Object Satyajit Sen E115268 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 Sen | Statement: [Satyajit Sen, name, Satyajit Sen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satyajit Sen
Context triple: [Satyajit Sen, name, Satyajit Sen]
  • A. Satyajit Sen chosen
    Satyajit Sen is an individual notable enough to be recognized as a distinguished bearer of the surname Sen.
  • B. 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.
  • 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. Satyajit Ray
    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.
  • E. Tapan Sinha
    Tapan Sinha was a renowned Indian film director celebrated for his socially conscious and critically acclaimed works in Bengali cinema.
  • 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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75cba1e88190af076657f846b975 completed March 20, 2026, 4:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bebaaa394c8190bd93cdf57475a5b6 completed March 21, 2026, 3:35 p.m.
Created at: March 20, 2026, 1:41 p.m.