Triple

T19652157
Position Surface form Disambiguated ID Type / Status
Subject Govinda E471840 entity
Predicate relatedName P3889 FINISHED
Object Gopala Krishna 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: Gopala Krishna | Statement: [Govinda, relatedName, Gopala Krishna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gopala Krishna
Context triple: [Govinda, relatedName, Gopala Krishna]
  • A. Gopala Krishna chosen
    Gopala Krishna is a beloved pastoral form of the Hindu god Krishna, especially revered in devotional traditions that celebrate his childhood and cowherd pastimes.
  • B. Gopal Krishna
    Gopal Krishna is an Indian film in which actress Zarina Wahab delivered one of her notable performances.
  • C. Gopalkrishna
    Gopalkrishna is an Indian name most prominently associated with Gopalkrishna Gandhi, a diplomat, writer, and former Governor of West Bengal.
  • D. Madhav Narayan
    Madhav Narayan, better known as Madhav Rao II, was a late 18th-century Peshwa (prime minister) of the Maratha Empire in India, noted for his efforts to restore Maratha power after earlier setbacks.
  • E. Daulat Ram Gupta
    Daulat Ram Gupta was an Indian educationist and philanthropist best known for establishing Daulat Ram College, a prominent women’s college at the University of Delhi.
  • 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_69d8e51395348190ac1416d46dfc6db0 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e64141f61c819098fe148581fb1747 completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.