Triple

T21195569
Position Surface form Disambiguated ID Type / Status
Subject Basu Bhattacharya E522315 entity
Predicate notableWork P4 FINISHED
Object Griha Pravesh 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: Griha Pravesh | Statement: [Basu Bhattacharya, notableWork, Griha Pravesh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Griha Pravesh
Context triple: [Basu Bhattacharya, notableWork, Griha Pravesh]
  • A. Griha Pravesh chosen
    Griha Pravesh is a 1979 Bengali-language drama film, directed by Basu Bhattacharya, known for its nuanced portrayal of marital relationships and starring Suchitra Sen and Sanjeev Kumar.
  • B. Ek Ghar
    Ek Ghar is an Indian film best known for featuring actress Zarina Wahab in a prominent role.
  • C. Rang Ghar
    Rang Ghar is an 18th-century royal sports pavilion and amphitheater in Assam, India, historically used by Ahom kings to watch traditional games and cultural events.
  • D. Swarga Dwar
    Swarga Dwar is a significant ceremonial gateway in Hindu tradition, symbolically associated with entry to heaven and often featured in major temples and pilgrimage sites.
  • E. Spin Ghar
    Spin Ghar is a prominent mountain range in eastern Afghanistan forming part of the border with Pakistan and known for its rugged, high peaks.
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7333bd7a0819084bbd1d6c111bc65 completed April 21, 2026, 8:20 a.m.
Created at: April 16, 2026, 3:08 p.m.