Triple

T5128990
Position Surface form Disambiguated ID Type / Status
Subject Suchitra Sen E115648 entity
Predicate relative P37 FINISHED
Object Raima Sen E127049 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: Raima Sen | Statement: [Suchitra Sen, relative, Raima Sen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raima Sen
Context triple: [Suchitra Sen, relative, Raima Sen]
  • A. Nandana Sen chosen
    Nandana Sen is an Indian actress, writer, and child-rights activist known for her work in international and Bollywood films as well as her advocacy for children's welfare.
  • B. Priya Basu
    Priya Basu is an economist and development finance expert known for her work on financial inclusion and policy at institutions such as the World Bank.
  • C. Suchitra Sen
    Suchitra Sen was a legendary Indian film actress renowned for her powerful performances in Bengali cinema and as the first Indian actress to receive an international film award.
  • D. Sharmila Tagore
    Sharmila Tagore is an acclaimed Indian actress known for her influential work in both Bengali art cinema and mainstream Hindi films since the 1960s.
  • E. Anu Khosla
    Anu Khosla is one of the children of Indian-American billionaire venture capitalist and Sun Microsystems co-founder Vinod Khosla.
  • 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_69bd444426bc819099ccd23f141e22aa completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7825facc8190b2a6c17216290b5c completed March 20, 2026, 4:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed91b5a44819096e1cc045f061db9 completed March 21, 2026, 5:44 p.m.
Created at: March 20, 2026, 1:42 p.m.