Triple

T23431539
Position Surface form Disambiguated ID Type / Status
Subject Nana Patekar E563345 entity
Predicate notableWork P4 FINISHED
Object Apaharan 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: Apaharan | Statement: [Nana Patekar, notableWork, Apaharan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Apaharan
Context triple: [Nana Patekar, notableWork, Apaharan]
  • A. Apaharan chosen
    Apaharan is a 2005 Hindi political crime drama film directed by Prakash Jha that explores kidnapping, corruption, and power struggles in the Indian state of Bihar.
  • B. Aparan
    Aparan is a small town in Armenia’s Aragatsotn Province, known for its proximity to Mount Aragats and its historic churches and monuments.
  • C. Apanjan
    Apanjan is a 1968 Bengali social drama film directed by Tapan Sinha that explores political unrest and youth disillusionment in contemporary Calcutta.
  • D. Awarta
    Awarta is a Palestinian village in the northern West Bank, known for its historic religious sites and proximity to the city of Nablus.
  • E. Aparo
    Aparo is an Italian surname most notably associated with comic book artist Jim Aparo, known for his work on DC Comics titles such as Batman.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5d8130881909e4f3455afef1804 completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:49 p.m.