Triple

T20351318
Position Surface form Disambiguated ID Type / Status
Subject Akaler Sandhane E496016 entity
Predicate stars P1956 FINISHED
Object Gita Sen 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: Gita Sen | Statement: [Akaler Sandhane, stars, Gita Sen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gita Sen
Context triple: [Akaler Sandhane, stars, Gita Sen]
  • A. Gita Sen chosen
    Gita Sen is an Indian actress known for her frequent collaborations with her husband, acclaimed filmmaker Mrinal Sen, in Bengali parallel cinema.
  • B. 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.
  • C. Ritu Nanda
    Ritu Nanda was an Indian businesswoman and insurance advisor, best known as a member of the prominent Kapoor film family and for setting industry records in the insurance sector.
  • D. Gita Dey
    Gita Dey was an Indian Bengali film and theatre actress known for her powerful character roles in classic Bengali cinema.
  • E. Shanta Apte
    Shanta Apte was a prominent Indian film actress and playback singer of the 1930s and 1940s, known for her powerful performances in Marathi and Hindi cinema.
  • 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_69e0b4a3320881909495ae8bc30bc2dc completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6784f8ff48190a070888786f6a989 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.