Triple

T22033588
Position Surface form Disambiguated ID Type / Status
Subject Baba Azmi E544145 entity
Predicate notableWork P4 FINISHED
Object Pukar 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: Pukar | Statement: [Baba Azmi, notableWork, Pukar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pukar
Context triple: [Baba Azmi, notableWork, Pukar]
  • A. Pukar chosen
    Pukar is a 2000 Indian Hindi-language patriotic action drama film directed by Rajkumar Santoshi and produced by Boney Kapoor, starring Anil Kapoor and Madhuri Dixit.
  • B. Pucarani
    Pucarani is a town in western Bolivia that serves as an administrative and population center in the Andean highlands.
  • C. Amarpatan
    Amarpatan is a town in the Satna district of Madhya Pradesh, India, known as a local commercial and administrative center for surrounding rural areas.
  • D. Punascha
    Punascha is a notable section or facility within the Uttarayan Complex, part of the Visva-Bharati campus at Santiniketan associated with Rabindranath Tagore’s legacy.
  • E. Pakurumo
    Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ef97348190b8dcdcad11694ebe completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.