Triple

T20417756
Position Surface form Disambiguated ID Type / Status
Subject Raima Sen E500756 entity
Predicate notableWork P4 FINISHED
Object Chokher Bali 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: Chokher Bali | Statement: [Raima Sen, notableWork, Chokher Bali]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chokher Bali
Context triple: [Raima Sen, notableWork, Chokher Bali]
  • A. Chokher Bali chosen
    Chokher Bali is a classic Bengali novel by Rabindranath Tagore that explores complex human emotions, desire, and social norms through the story of a young widow and a married couple.
  • B. Pichhu Banjara
    Pichhu Banjara was a Banjara tribal leader historically credited with initiating the construction of Lake Pichola in Udaipur, Rajasthan.
  • C. Champakali
    Champakali is an Indian Bengali film best known today for featuring legendary actress Suchitra Sen in a prominent role.
  • D. Bagh Bahadur
    Bagh Bahadur is a critically acclaimed 1989 Bengali film directed by Buddhadeb Dasgupta that explores the life of a village performer who paints himself as a tiger amid changing rural realities.
  • E. Ranchipur
    Ranchipur is the fictional Indian princely city that serves as the central backdrop for Louis Bromfield’s novel and its film adaptation "The Rains Came."
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a44ecf48190ba5a3872af500dc8 completed April 20, 2026, 7:11 p.m.
Created at: April 16, 2026, 11:30 a.m.