Triple

T22099521
Position Surface form Disambiguated ID Type / Status
Subject Prince E546129 entity
Predicate notableWorkFor P4 FINISHED
Object NandanaSen NE NERFINISHED

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: NandanaSen | Statement: [Prince, notableWorkFor, NandanaSen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NandanaSen
Context triple: [Prince, notableWorkFor, NandanaSen]
  • 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. Nandita Das
    Nandita Das is an acclaimed Indian actress and filmmaker known for her powerful performances in parallel cinema and her socially conscious directorial work, including the films "Firaaq" and "Manto."
  • C. 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.
  • D. Raima Sen
    Raima Sen is an Indian film and television actress known for her work in Bengali and Hindi cinema and for being part of the prominent Sen acting family.
  • E. Nandita Puri
    Nandita Puri is an Indian journalist and author best known for her biography of her late husband, acclaimed actor Om Puri.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291440048190992c48893ced0b34 completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.