Triple

T23133721
Position Surface form Disambiguated ID Type / Status
Subject B. R. Chopra E577249 entity
Predicate notableWork P4 FINISHED
Object Sadhna 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: Sadhna | Statement: [B. R. Chopra, notableWork, Sadhna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sadhna
Context triple: [B. R. Chopra, notableWork, Sadhna]
  • A. Sadhna chosen
    Sadhna is a 1958 Hindi-language romantic drama film directed by B. R. Chopra, noted for its progressive social themes and acclaimed performances by Vyjayanthimala and Sunil Dutt.
  • B. Sudha
    Sudha is a central character in Jhumpa Lahiri’s short story collection "Unaccustomed Earth," representing the experiences and inner conflicts of the Indian diaspora.
  • C. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • D. Nandini
    Nandini is a divine cow in Hindu mythology, famed as a wish-fulfilling offspring of the celestial cow Kamadhenu.
  • E. Sujata
    Sujata is a classic 1959 Hindi social drama film directed by Bimal Roy, renowned for its sensitive portrayal of caste discrimination and human relationships.
  • 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e89cce881908727a94dbc00e031 completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.